Triple

T5845353
Position Surface form Disambiguated ID Type / Status
Subject Belmont E129694 entity
Predicate nearbyArea P2064 FINISHED
Object Harrow Weald 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 Weald | Statement: [Belmont, nearbyArea, Harrow Weald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrow Weald
Context triple: [Belmont, nearbyArea, Harrow Weald]
  • A. Harrow chosen
    Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • B. Harpur Hill
    Harpur Hill is a small village in the High Peak district of Derbyshire, England, known for its elevated position and proximity to the spa town of Buxton.
  • C. Hertford Heath
    Hertford Heath is a village and civil parish in Hertfordshire, England, known for its rural character, common land, and proximity to the town of Hertford.
  • D. Colney Heath
    Colney Heath is a village and civil parish in the county of Hertfordshire in the East of England.
  • E. Goffs Oak
    Goffs Oak is a village in the county of Hertfordshire, England, known for its residential character and proximity to both countryside and London commuter routes.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034dcafe88190a438034a539ffa52 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfce88f88190bbc78ce9c7c3c107 completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:55 p.m.