Triple

T9488482
Position Surface form Disambiguated ID Type / Status
Subject Lignes à grande vitesse network E228821 entity
Predicate usedBy P260 FINISHED
Object TGV Atlantique E88045 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 Atlantique | Statement: [Lignes à grande vitesse network, usedBy, TGV Atlantique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TGV Atlantique
Context triple: [Lignes à grande vitesse network, usedBy, TGV Atlantique]
  • A. TGV INOUI
    TGV INOUI is SNCF’s premium high-speed train service in France, offering upgraded comfort, amenities, and service compared to standard TGV trains.
  • B. TGV PSE
    TGV PSE is the original generation of French high-speed TGV Sud-Est trainsets that inaugurated high-speed rail service in France.
  • C. TGV Atlantique trainset chosen
    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.
  • D. 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.
  • E. TGV
    TGV is France’s high-speed intercity train service, renowned for rapid connections between major cities such as Paris and Lille.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c5a05c8190b97d34f010e60ca1 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16126726c81908e6194a5db342c57 completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 7:55 p.m.