Triple

T2730225
Position Surface form Disambiguated ID Type / Status
Subject District line E60293 entity
Predicate rollingStock P1305 FINISHED
Object S7 Stock E283347 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: S7 Stock | Statement: [District line, rollingStock, S7 Stock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S7 Stock
Context triple: [District line, rollingStock, S7 Stock]
  • A. S7 Stock chosen
    S7 Stock is a type of London Underground train used on the Circle and other sub-surface lines, featuring air-conditioning, walk-through carriages, and modern passenger information systems.
  • B. S7
    S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
  • C. S7
    S7 is the IATA airline designator for S7 Airlines, a major Russian carrier based in Novosibirsk.
  • D. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • E. S7 stock (DLR type, not Underground S7)
    The S7 stock (DLR type) is a proposed or conceptual class of light metro trains intended for use on the Docklands Light Railway, distinct from the London Underground’s S7 Stock.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaeca6208190a586afb00747146a completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69c9f648190bbbcfa42ab68c6f2 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:56 p.m.