Triple

T8720101
Position Surface form Disambiguated ID Type / Status
Subject TER Bourgogne-Franche-Comté E206988 entity
Predicate brandOf P1500 FINISHED
Object SNCF TER E414215 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: SNCF TER | Statement: [TER Bourgogne-Franche-Comté, brandOf, SNCF TER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNCF TER
Context triple: [TER Bourgogne-Franche-Comté, brandOf, SNCF TER]
  • A. SNCF TER chosen
    SNCF TER is the regional rail service of France’s national railway company, providing local passenger train connections across various French regions.
  • B. 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.
  • 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. SNCF Class Z 55500
    The SNCF Class Z 55500 is a modern electric multiple unit train operated by the French national railway company for regional passenger services.
  • E. SNCF Voyageurs
    SNCF Voyageurs is the passenger rail operating division of France’s national railway company, responsible for running high-speed, regional, and commuter train services.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d02a52c81909f93622ae6920b80 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d02f4d26ec8190baacf68b7e6ca0eb completed April 3, 2026, 9:21 p.m.
Created at: March 30, 2026, 6:36 p.m.