Triple
T3890416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Bordeaux |
E88046
|
entity |
| Predicate | hasRollingStock |
P1305
|
FINISHED |
| Object | TGV Duplex |
E90446
|
NE FINISHED |
How this triple was built (2 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 Duplex | Statement: [Paris–Bordeaux, hasRollingStock, TGV Duplex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TGV Duplex Context triple: [Paris–Bordeaux, hasRollingStock, TGV Duplex]
-
A.
TGV Duplex trainset
chosen
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 Est
TGV Est is a French high-speed train service connecting Paris with eastern France and neighboring European countries such as Germany, Luxembourg, and Switzerland.
-
C.
TGV Ouigo
TGV Ouigo is a low-cost high-speed train service operated by SNCF in France, offering budget fares on selected TGV routes.
-
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 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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecb0ba448190aa076865b7762002 |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a82c551c8190a97fdc5a96cf131c |
completed | March 14, 2026, 6:25 p.m. |
Created at: March 9, 2026, 3:21 p.m.