Triple

T9872402
Position Surface form Disambiguated ID Type / Status
Subject Transilien Line J E239987 entity
Predicate rollingStock P1305 FINISHED
Object Z 50000 Francilien EMU E767538 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: Z 50000 Francilien EMU | Statement: [Transilien Line J, rollingStock, Z 50000 Francilien EMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Z 50000 Francilien EMU
Context triple: [Transilien Line J, rollingStock, Z 50000 Francilien EMU]
  • A. SNCF Class Z 55500 chosen
    The SNCF Class Z 55500 is a modern electric multiple unit train operated by the French national railway company for regional passenger services.
  • B. SNCF Class Z 51500
    The SNCF Class Z 51500 is a type of modern electric multiple unit train operated in regional passenger service across the French railway network.
  • C. X'Trapolis EMU
    The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
  • D. SNCF Class Z 27500
    The SNCF Class Z 27500 is a series of modern electric multiple units operated by the French national railway company for regional passenger services.
  • E. SNCF Class Z 31500
    The SNCF Class Z 31500 is a type of electric multiple unit train operated by the French national railway company for regional passenger 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f5cc948190b03186b867c92229 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e46f18148190a36af7e7d7487205 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:37 p.m.