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.