Triple

T23251932
Position Surface form Disambiguated ID Type / Status
Subject Austenwood E581753 entity
Predicate hasName P744 FINISHED
Object Austenwood 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: Austenwood | Statement: [Austenwood, hasName, Austenwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austenwood
Context triple: [Austenwood, hasName, Austenwood]
  • A. Austenwood chosen
    Austenwood is a residential area forming part of the village of Chalfont St Peter in Buckinghamshire, England.
  • B. Pagewood
    Pagewood is a suburb in Sydney, New South Wales, Australia, known for its residential character and proximity to major commercial and recreational areas.
  • C. Weetwood
    Weetwood is a suburban area of Leeds, England, known for its residential character and proximity to the Headingley district.
  • D. Uplands
    Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
  • E. Uplands
    Uplands is an affluent, historically planned residential neighbourhood in the District of Oak Bay near Victoria, British Columbia, known for its large estates and waterfront properties.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f7249481909424867e9542d35e completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.