Triple

T9699147
Position Surface form Disambiguated ID Type / Status
Subject Main South Line E234729 entity
Predicate passesThrough P225 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: [Main South Line, passesThrough, Timaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timaru
Context triple: [Main South Line, passesThrough, 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. Hāwera
    Hāwera is a town in New Zealand known for its dairy industry and as a service and commercial hub in the South Taranaki District.
  • 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 (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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d3d425c8190b652d84186b5ce9f completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1912a551c8190bd6b48790f117f71 completed April 4, 2026, 10:31 p.m.
Created at: March 30, 2026, 8:18 p.m.