Triple

T20536468
Position Surface form Disambiguated ID Type / Status
Subject Manukau E504211 entity
Predicate formerName P65 FINISHED
Object Manukau City 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: Manukau City | Statement: [Manukau, formerName, Manukau City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manukau City
Context triple: [Manukau, formerName, Manukau City]
  • A. Takapuna
    Takapuna is a coastal suburb on Auckland’s North Shore in New Zealand, known for its popular beach, shopping precinct, and recreational amenities.
  • B. Pukekohe
    Pukekohe is a town in the Auckland Region of New Zealand, known for its rich agricultural land and motor racing circuit.
  • C. Manukau chosen
    Manukau is a major urban area in South Auckland, New Zealand, known for its diverse population and role as a commercial and transport hub.
  • D. Māngere
    Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
  • E. West Auckland
    West Auckland is a suburban and semi-urban area on the western side of Auckland, New Zealand, known for its residential communities, native bush, and black-sand surf beaches.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06ed3088190bd01a95672b01ad6 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.