Triple

T2135461
Position Surface form Disambiguated ID Type / Status
Subject High Court of New Zealand E46641 entity
Predicate hasSeat P3522 FINISHED
Object Timaru E143237 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: Timaru | Statement: [High Court of New Zealand, hasSeat, Timaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timaru
Context triple: [High Court of New Zealand, hasSeat, Timaru]
  • A. Timaru chosen
    Timaru is a coastal port town and service center on the east coast of New Zealand’s South Island.
  • B. Waimate
    Waimate is a small rural town in the South Island of New Zealand, known for its agricultural economy, historic buildings, and proximity to scenic natural landscapes.
  • C. 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.
  • D. 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.
  • E. Whangārei
    Whangārei is a coastal city in northern New Zealand known as the main urban center of the Northland Region, featuring a busy harbor, waterfalls, and access to scenic beaches.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc4ce8c81908d143d5451681e6a completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6aee10b08190abeb6059d4d2ad0a completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:44 p.m.