Triple

T21965016
Position Surface form Disambiguated ID Type / Status
Subject South Auckland E542435 entity
Predicate hasSubregion P285 FINISHED
Object Ōtara 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: Ōtara | Statement: [South Auckland, hasSubregion, Ōtara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ōtara
Context triple: [South Auckland, hasSubregion, Ōtara]
  • A. Ōtara chosen
    Ōtara is a suburb in South Auckland, New Zealand, known for its large Pacific Islander community and vibrant open-air market.
  • B. Remuera
    Remuera is an affluent residential suburb in Auckland, New Zealand, known for its leafy streets, historic homes, and proximity to the city centre.
  • C. Manukau Ward
    Manukau Ward is an electoral ward in Auckland, New Zealand, that encompasses several southern suburbs including Ōtāhuhu and is represented on the Auckland Council.
  • D. Takapuna
    Takapuna is a coastal suburb on Auckland’s North Shore in New Zealand, known for its popular beach, shopping precinct, and recreational amenities.
  • E. Māngere
    Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12459e1848190aa8d4ccc97f434b8 completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:01 p.m.