Triple

T17161147
Position Surface form Disambiguated ID Type / Status
Subject Tauranga City Council E416480 entity
Predicate jurisdiction P82 FINISHED
Object Tauranga 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: Tauranga City | Statement: [Tauranga City Council, jurisdiction, Tauranga City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tauranga City
Context triple: [Tauranga City Council, jurisdiction, Tauranga City]
  • A. Tauranga chosen
    Tauranga is a major coastal city and port in the Bay of Plenty region of New Zealand, known for its beaches, harbor, and growing economic and tourism sectors.
  • B. Palmerston North
    Palmerston North is a major inland city in New Zealand known for its role as an educational and logistical hub, particularly home to Massey University.
  • C. Timaru
    Timaru is a coastal port town and service center on the east coast of New Zealand’s South Island.
  • D. Te Awamutu
    Te Awamutu is a rural service town in New Zealand known for its dairy farming hinterland and location south of Hamilton on the North Island.
  • E. Wellington–Napier
    Wellington–Napier is a regional air route in New Zealand connecting the capital city Wellington with the Hawke's Bay city of Napier.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f911114481909c865b2e2d3b3a2b completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 5:37 a.m.