Triple

T13017605
Position Surface form Disambiguated ID Type / Status
Subject Woombye E322592 entity
Predicate stateElectorate P11212 FINISHED
Object Nicklin E319988 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: Nicklin | Statement: [Woombye, stateElectorate, Nicklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicklin
Context triple: [Woombye, stateElectorate, Nicklin]
  • A. Nicklin chosen
    Nicklin is an electoral district in the Legislative Assembly of Queensland, Australia, encompassing the town of Nambour and surrounding areas.
  • B. Nicholl
    Nicholl is a surname of British origin, often considered a variant of the name Nicol or Nicholas.
  • C. Ainley
    Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
  • D. Nightingall
    Nightingall is an alternative spelling of the surname Nightingale, most famously associated with the pioneering nurse and social reformer Florence Nightingale.
  • E. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ece22908190a0941e23df7c774d completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c1147974819090007c21383d5c86 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:51 p.m.