Triple

T10311225
Position Surface form Disambiguated ID Type / Status
Subject Transilien Line R E241893 entity
Predicate rollingStock P1305 FINISHED
Object Z 20500 E86081 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 20500 | Statement: [Transilien Line R, rollingStock, Z 20500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Z 20500
Context triple: [Transilien Line R, rollingStock, Z 20500]
  • A. Z 22500
    Z 22500 is a class of French double-deck electric multiple unit trains operated by SNCF, primarily used for suburban commuter services around Paris.
  • B. Z 5600
    Z 5600 is a class of French electric multiple unit trains used for suburban passenger services in the Paris region.
  • C. Z 50000 (Francilien)
    The Z 50000, known as the Francilien, is a modern electric multiple unit train used for suburban and regional passenger services in the Île-de-France region around Paris.
  • D. Z 20500 EMU chosen
    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/28
    The Z/28 is a high-performance, track-focused variant of the Chevrolet Camaro known for its enhanced handling, braking, and power.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d78ece88190885768c979b038df completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:47 a.m.