Triple

T8719998
Position Surface form Disambiguated ID Type / Status
Subject TER Bretagne E206986 entity
Predicate usesRollingStock P5426 FINISHED
Object SNCF Class AGC E785706 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 Class AGC | Statement: [TER Bretagne, usesRollingStock, SNCF Class AGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNCF Class AGC
Context triple: [TER Bretagne, usesRollingStock, SNCF Class AGC]
  • A. SNCF Class ZGC
    The SNCF Class ZGC is a family of modern electric multiple-unit regional trains operated across various French regions for TER commuter and regional services.
  • B. SNCF Class X 76500
    The SNCF Class X 76500 is a modern diesel multiple unit train operated by the French national railway company for regional passenger services.
  • C. SNCF Class Z 24500
    The SNCF Class Z 24500 is a series of French double-deck electric multiple unit trains designed for regional passenger services.
  • D. SNCF Class X 72500
    The SNCF Class X 72500 is a series of French diesel multiple units built in the late 1990s for regional passenger services, notable for their distinctive design and use on non-electrified lines.
  • E. SNCF Class B 83500 chosen
    The SNCF Class B 83500 is a type of bi-mode regional multiple unit train operated in France, notably used for TER regional 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_69d0c696913c819089f29ec899d4ee61 completed April 4, 2026, 8:06 a.m.
Created at: March 30, 2026, 6:36 p.m.