Triple

T15283319
Position Surface form Disambiguated ID Type / Status
Subject Transilien line D E365326 entity
Predicate rollingStock P1305 FINISHED
Object Z 5600 EMU E83340 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 5600 EMU | Statement: [Transilien line D, rollingStock, Z 5600 EMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Z 5600 EMU
Context triple: [Transilien line D, rollingStock, Z 5600 EMU]
  • A. Z 5600 EMU chosen
    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.
  • B. 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.
  • C. 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.
  • D. Z 6400 EMU (historically)
    The Z 6400 is a class of French electric multiple units that formerly operated suburban commuter services around Paris, notably on Transilien lines, before being gradually retired from regular service.
  • E. Z 8800 EMU
    The Z 8800 EMU is a class of French electric multiple unit trains operated by SNCF, primarily used for suburban commuter services in the Paris region.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e53c9588190a6cb61ac8805c706 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef8982bc881908a33ad27ce0ff091 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:15 a.m.