Triple

T8304110
Position Surface form Disambiguated ID Type / Status
Subject Line R E194417 entity
Predicate rollingStock P1305 FINISHED
Object Z 57000 Regio 2N E199654 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 57000 Regio 2N | Statement: [Line R, rollingStock, Z 57000 Regio 2N]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Z 57000 Regio 2N
Context triple: [Line R, rollingStock, Z 57000 Regio 2N]
  • A. Z 57000 RER NG chosen
    The Z 57000 RER NG is a new-generation double-deck electric multiple unit train designed for Île-de-France’s RER network, offering higher capacity, improved accessibility, and enhanced passenger comfort.
  • B. Z 5600 EMU
    The Z 5600 EMU is a class of French electric multiple unit trains built for suburban commuter services around Paris, notably operating on the RER network.
  • C. Z 5600
    Z 5600 is a class of French electric multiple unit trains used for suburban passenger services in the Paris region.
  • D. Z 20500 EMU
    The Z 20500 EMU is a class of double-deck electric multiple unit trains operated by SNCF in the Paris suburban network, notably on lines such as the RER.
  • E. Z 20900 EMU
    The Z 20900 EMU is a class of French electric multiple unit trains operated by SNCF, primarily used for suburban commuter services around Paris.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8b9f6081909100d1da8a078616 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6dc4008819084eff0960917494c completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:53 p.m.