Triple

T20038593
Position Surface form Disambiguated ID Type / Status
Subject Horowhenua District E497347 entity
Predicate hasNeighboringDistrict P17964 FINISHED
Object Palmerston North 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: Palmerston North City | Statement: [Horowhenua District, hasNeighboringDistrict, Palmerston North City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmerston North City
Context triple: [Horowhenua District, hasNeighboringDistrict, Palmerston North City]
  • A. Palmerston North chosen
    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.
  • B. Timaru
    Timaru is a coastal port town and service center on the east coast of New Zealand’s South Island.
  • C. Lower Hutt
    Lower Hutt is a city in the Wellington region of New Zealand, situated on the shores of Wellington Harbour and known as one of the country’s major urban centers.
  • D. Otahuhu
    Otahuhu is a suburb of Auckland, New Zealand, known for its strong Pacific Islander presence and vibrant Tongan community.
  • E. Tauranga
    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.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e9e99c81909b7d50eac893c414 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.