Triple

T11413751
Position Surface form Disambiguated ID Type / Status
Subject Mid West region of Western Australia E270435 entity
Predicate contains P35 FINISHED
Object Meekatharra E910834 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: Meekatharra | Statement: [Mid West region of Western Australia, contains, Meekatharra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meekatharra
Context triple: [Mid West region of Western Australia, contains, Meekatharra]
  • A. Meekatharra chosen
    Meekatharra is a remote outback town in Western Australia known historically for gold mining and as a service hub for the surrounding pastoral and mining regions.
  • B. Kniphausen
    Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
  • C. Schepisi
    Schepisi is a surname most notably associated with Australian film director and screenwriter Fred Schepisi.
  • D. Saas-Almagell
    Saas-Almagell is a small alpine village and ski resort in the Swiss canton of Valais, known for its scenic mountain landscapes and outdoor recreation.
  • E. Kyela
    Kyela is a town and district in southern Tanzania known for its fertile land, rice production, and location near the northern shores of Lake Nyasa.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b855f0508190a2e57ef9407ddb1a completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.