Triple

T4825855
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Hounslow E107822 entity
Predicate hasDistrict P459 FINISHED
Object Gunnersbury E187659 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: Gunnersbury | Statement: [London Borough of Hounslow, hasDistrict, Gunnersbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunnersbury
Context triple: [London Borough of Hounslow, hasDistrict, Gunnersbury]
  • A. Gunnersbury chosen
    Gunnersbury is a district in West London, England, known for its residential areas, parks, and transport links, including proximity to Gunnersbury Park and several major roads and rail services.
  • B. Oldbury
    Oldbury is a town in the West Midlands of England that serves as the administrative centre of the Metropolitan Borough of Sandwell.
  • C. Neasden
    Neasden is a suburban area in northwest London, England, known for its residential character and proximity to major roads and rail links.
  • D. Bennetts End
    Bennetts End is a residential area and suburb located within the county of Hertfordshire in England.
  • E. Hoddlesden
    Hoddlesden is a small village in Lancashire, England, situated in a rural valley setting and historically associated with textile manufacturing.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dca2b708190ac05c91ba04d9ff6 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.