Triple

T6808990
Position Surface form Disambiguated ID Type / Status
Subject Arsenal Underground station E156582 entity
Predicate renamedFrom P65 FINISHED
Object Gillespie Road E879622 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: Gillespie Road | Statement: [Arsenal Underground station, renamedFrom, Gillespie Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gillespie Road
Context triple: [Arsenal Underground station, renamedFrom, Gillespie Road]
  • A. Gillespie Road chosen
    Gillespie Road was the original name of the London Underground station now known as Arsenal, located in North London near Arsenal Football Club’s former Highbury stadium.
  • B. Kelsey Road
    Kelsey Road is a local roadway serving as a primary access route to and through the village of Port Barrington, Illinois.
  • C. Naylor Road
    Naylor Road is a street in the Washington, D.C. area that lends its name to the nearby Naylor Road Metro station on the Green Line.
  • D. Warren Bruce Road
    Warren Bruce Road is a street in Trafford Park, Greater Manchester, England, serving an industrial and commercial area near the Trafford Centre.
  • E. Parks Road
    Parks Road is a major street in central Oxford, England, running through the university area and lined with prominent academic buildings and museums.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30c741881909e220b05aa564bc2 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99859b5cc81908475fde408802607 completed April 11, 2026, 12:39 a.m.
Created at: March 27, 2026, 2:16 p.m.