Triple

T879702
Position Surface form Disambiguated ID Type / Status
Subject Mid North Coast E18998 entity
Predicate hasPart P35 FINISHED
Object Kempsey E53859 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: Kempsey | Statement: [Mid North Coast, hasPart, Kempsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kempsey
Context triple: [Mid North Coast, hasPart, 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. Deniliquin
    Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
  • C. Glen Innes
    Glen Innes is a prominent rural service and commercial centre in the Northern Tablelands region of New South Wales, Australia, known for its Celtic heritage and cool highland climate.
  • D. Katoomba
    Katoomba is a popular town in New South Wales, Australia, known as the main tourist hub of the Blue Mountains with attractions like the Three Sisters rock formation and scenic bushwalking trails.
  • E. Armidale
    Armidale is a regional city in New South Wales, Australia, known for its university, cool climate, and location on the Northern Tablelands.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826d4030081909a1c3347228f65c1 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:39 p.m.