Triple

T6679520
Position Surface form Disambiguated ID Type / Status
Subject Hatch End E151940 entity
Predicate hasNearbyArea P4647 FINISHED
Object Northwood E301829 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: Northwood | Statement: [Hatch End, hasNearbyArea, Northwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northwood
Context triple: [Hatch End, hasNearbyArea, Northwood]
  • A. Northwood chosen
    Northwood is a suburban London Underground station in the London Borough of Hillingdon, providing commuter rail services on the Metropolitan line.
  • B. Northwood
    Northwood is a master-planned residential village in Irvine, California, known for its suburban neighborhoods, parks, and family-oriented community design.
  • C. Northwood
    Northwood is a village on the Isle of Wight in England, situated just inland from the port town of Cowes.
  • D. Northwood Hills
    Northwood Hills is a suburban area and local center in the northwest of Greater London, known for its residential character and transport links.
  • E. Kirkewood
    Kirkewood is an alternative spelling of the name Kirkwood, which is used for various places and surnames in English-speaking regions.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f6813c8190906f619b4276a232 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af0c0e4819094c89193a222a6c9 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:03 p.m.