Triple

T18945735
Position Surface form Disambiguated ID Type / Status
Subject Arakoon E463507 entity
Predicate locatedNear P294 FINISHED
Object Kempsey 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: Kempsey | Statement: [Arakoon, locatedNear, Kempsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kempsey
Context triple: [Arakoon, locatedNear, Kempsey]
  • A. Kempsey chosen
    Kempsey is a town in New South Wales, Australia, situated on the Macleay River and serving as a regional centre on the state’s Mid North Coast.
  • B. Kempsey
    Kempsey is a village and civil parish in Worcestershire, England, situated just south of Worcester near the River Severn.
  • C. Deniliquin
    Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
  • D. Inverell
    Inverell is a rural town in northern New South Wales, Australia, known for its sapphire mining and agricultural production.
  • E. Benalla
    Benalla is a regional town in northeastern Victoria, Australia, known for its art, lake, and role as a service centre along major transport routes.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d53f6eb8819099b1268db8b14d66 completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, 11:59 a.m.