Triple

T8734109
Position Surface form Disambiguated ID Type / Status
Subject Mildmay E207330 entity
Predicate hasNearbyArea P4647 FINISHED
Object Highbury E80042 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: Highbury | Statement: [Mildmay, hasNearbyArea, Highbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highbury
Context triple: [Mildmay, hasNearbyArea, Highbury]
  • A. Highbury chosen
    Highbury was Arsenal Football Club’s historic North London stadium, renowned for its Art Deco design and intimate atmosphere before the club’s move to the Emirates Stadium.
  • B. Highbury
    Highbury is a residential suburb located within the city of Palmerston North in New Zealand.
  • C. Highbury
    Highbury is the fictional English village that serves as the primary setting of Jane Austen’s novel "Emma."
  • D. Highbury Fields
    Highbury Fields is a large public park in the London Borough of Islington, known for its open green space, tree-lined paths, and recreational facilities.
  • E. Highbury House
    Highbury House is a notable building in the Highbury area of North London, historically associated with the local estate and later with Arsenal Football Club’s administrative offices.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2a26988190acfda17f232e610a completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2936f84081908cf91f1dc9a4d27f completed April 3, 2026, 2:43 a.m.
Created at: March 30, 2026, 6:37 p.m.