Triple

T21626531
Position Surface form Disambiguated ID Type / Status
Subject Qunaba E533718 entity
Predicate federalElectorate P1971 FINISHED
Object Hinkler 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: Hinkler | Statement: [Qunaba, federalElectorate, Hinkler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinkler
Context triple: [Qunaba, federalElectorate, Hinkler]
  • A. Hinkler chosen
    Hinkler is an Australian federal electoral division in Queensland, centered around the coastal cities of Bundaberg and Hervey Bay.
  • B. Hiller
    Hiller is a surname most notably associated with Canadian film director Arthur Hiller, known for works such as "Love Story."
  • C. Aviatik
    Aviatik was an early 20th-century European aircraft manufacturer known for producing military reconnaissance and fighter planes during World War I.
  • D. Hawker
    Hawker is a surname of English origin borne by various notable individuals across fields such as aviation, politics, and the arts.
  • E. Aviatico
    Aviatico is a small mountain municipality in the Lombardy region of northern Italy, known for its scenic alpine landscapes and proximity to the city of Bergamo.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52131f2c8190b9966adf43a0fe4f completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.