Triple

T20124593
Position Surface form Disambiguated ID Type / Status
Subject Greenall E490714 entity
Predicate hasVariantSpelling P457 FINISHED
Object Greenhill NE NERFINISHED

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: Greenhill | Statement: [Greenall, hasVariantSpelling, Greenhill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenhill
Context triple: [Greenall, hasVariantSpelling, Greenhill]
  • A. Greenhill chosen
    Greenhill is a residential area within the London Borough of Harrow, situated in the Harrow West parliamentary constituency.
  • B. Southcott
    Southcott is a researcher best known for formally describing the highly venomous box jellyfish species Chironex fleckeri.
  • C. Northcliffe
    Northcliffe is a small rural town in Western Australia's South West region, known as a gateway to nearby forests, national parks, and coastal landscapes.
  • D. Bedford Hill
    Bedford Hill is a residential street and area in the London Borough of Wandsworth, known for its Victorian and Edwardian housing and proximity to Tooting Commons.
  • E. Roxhill
    Roxhill is a residential neighborhood in West Seattle known for its park, playground, and proximity to local schools and community amenities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667412b888190b43f7dd1ccdbad01 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.