Triple

T17717675
Position Surface form Disambiguated ID Type / Status
Subject Hayes and Harlington railway station E442246 entity
Predicate locatedIn P40 FINISHED
Object Hayes NE NERFINISHED

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: Hayes | Statement: [Hayes and Harlington railway station, locatedIn, Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayes
Context triple: [Hayes and Harlington railway station, locatedIn, Hayes]
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • C. Hayes
    Hayes is a town in the southern Jamaican parish of Clarendon, known historically for its sugar estates and bauxite-related industry.
  • D. Hayes chosen
    Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
  • E. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.