Triple

T9174741
Position Surface form Disambiguated ID Type / Status
Subject BB 15000 E220167 entity
Predicate inspiredDesignOf P7215 FINISHED
Object SNCB Class 27 E781951 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: SNCB Class 27 | Statement: [BB 15000, inspiredDesignOf, SNCB Class 27]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SNCB Class 27
Context triple: [BB 15000, inspiredDesignOf, SNCB Class 27]
  • A. SNCB Class 18 chosen
    The SNCB Class 18 is a series of Belgian electric locomotives used for passenger services, derived from and visually similar to the French BB 15000 design.
  • B. SNCF Class Z 21700
    The SNCF Class Z 21700 is a series of French electric multiple unit trains operated by SNCF 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 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 21500
    The SNCF Class Z 21500 is a series of electric multiple unit trains operated by SNCF for regional passenger services, particularly in western France.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbfa2f9708190a955bf28a4f04004 completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c0a91ec8190a97002660b66aabe completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:23 p.m.