Triple
T3765944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV POS |
E82676
|
entity |
| Predicate | worldSpeedRecordContext |
P50982
|
FINISHED |
| Object |
TGV V150 test train
The TGV V150 test train is a specially modified French high-speed train that set the world rail speed record for conventional trains by reaching 574.8 km/h (357.2 mph) in 2007.
|
E386837
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TGV V150 test train | Statement: [TGV POS, worldSpeedRecordContext, TGV V150 test train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TGV V150 test train Context triple: [TGV POS, worldSpeedRecordContext, TGV V150 test train]
-
A.
TGV Duplex trainset
The TGV Duplex trainset is a high-speed, double-decker French train designed to carry large numbers of passengers efficiently on long-distance routes.
-
B.
TGV Atlantique trainset
The TGV Atlantique trainset is a high-speed French electric multiple unit introduced by SNCF in the late 1980s for services from Paris toward western and southwestern France, once holding the world speed record for rail trains.
-
C.
TGV Sud-Est trainset
The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
-
D.
Bezannes TGV
Bezannes TGV is a tram terminus and transport hub in the suburb of Bezannes serving the high-speed TGV rail connections near Reims, France.
-
E.
TGV Réseau trainset
The TGV Réseau trainset is a high-speed electric multiple unit used by the French national railway for long-distance services on the TGV network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TGV V150 test train Triple: [TGV POS, worldSpeedRecordContext, TGV V150 test train]
Generated description
The TGV V150 test train is a specially modified French high-speed train that set the world rail speed record for conventional trains by reaching 574.8 km/h (357.2 mph) in 2007.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TGV V150 test train Target entity description: The TGV V150 test train is a specially modified French high-speed train that set the world rail speed record for conventional trains by reaching 574.8 km/h (357.2 mph) in 2007.
-
A.
TGV Duplex trainset
The TGV Duplex trainset is a high-speed, double-decker French train designed to carry large numbers of passengers efficiently on long-distance routes.
-
B.
TGV Atlantique trainset
The TGV Atlantique trainset is a high-speed French electric multiple unit introduced by SNCF in the late 1980s for services from Paris toward western and southwestern France, once holding the world speed record for rail trains.
-
C.
TGV Sud-Est trainset
The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
-
D.
Bezannes TGV
Bezannes TGV is a tram terminus and transport hub in the suburb of Bezannes serving the high-speed TGV rail connections near Reims, France.
-
E.
TGV Réseau trainset
The TGV Réseau trainset is a high-speed electric multiple unit used by the French national railway for long-distance services on the TGV network.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldSpeedRecordContext Context triple: [TGV POS, worldSpeedRecordContext, TGV V150 test train]
-
A.
worldRecordSetOn
Indicates that a world record was achieved or established on a specific date or occasion.
-
B.
wasWorldRecordFor
Indicates that something held the status of being the best performance or highest achievement ever recorded for a particular event, category, or metric at a given time.
-
C.
worldRegionTallestRecord
Indicates that an entity holds the record for being the tallest within a specified world region.
-
D.
isAllTimeRecordHolderFor
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
-
E.
setWorldRecordsIn
Indicates that an entity has achieved and holds world record performances in a specified domain, event, or location.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfeb52081909c38103beb5dbdcd |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5221ab08190a3599afbbd5dbc6e |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e5f07c7081908e1aae715984aac4 |
completed | March 14, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e6531b48819083c0d14c2ca4f7c1 |
completed | March 14, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:35 p.m.