Triple

T4769821
Position Surface form Disambiguated ID Type / Status
Subject Roxeth E105898 entity
Predicate hasPostTown P2711 FINISHED
Object Harrow E56899 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: Harrow | Statement: [Roxeth, hasPostTown, Harrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrow
Context triple: [Roxeth, hasPostTown, Harrow]
  • A. Harrow chosen
    Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • B. Harrow East
    Harrow East is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
  • C. West Harrow
    West Harrow is a suburban residential area in northwest London, known for its local park, conservation area streets, and access to central London via the Metropolitan line.
  • D. Harrow West
    Harrow West is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
  • E. North Harrow
    North Harrow is a suburban residential district in northwest London known for its local shopping area, transport links, and community amenities.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655c9a2c8190adce3e2a8a1fa0a7 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c971a688190b0023727acdbd9f7 completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:21 p.m.