Triple

T9493658
Position Surface form Disambiguated ID Type / Status
Subject Remuneration Authority of New Zealand E228951 entity
Predicate headquartersLocation P62 FINISHED
Object Wellington E18156 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: Wellington | Statement: [Remuneration Authority of New Zealand, headquartersLocation, Wellington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wellington
Context triple: [Remuneration Authority of New Zealand, headquartersLocation, Wellington]
  • A. Wellington
    Wellington is a regional town in New South Wales, Australia, known for its agricultural surroundings and location near the junction of the Macquarie and Bell rivers.
  • B. Wellington chosen
    Wellington is the compact, hilly coastal city at the southern tip of New Zealand’s North Island known for its vibrant arts scene, windy climate, and role as the country’s political and cultural hub.
  • C. Wellington
    Wellington is a Chicago Transit Authority 'L' station on the Brown Line located in the Lakeview neighborhood of Chicago, Illinois.
  • D. Wellington
    Wellington is a market town in Shropshire, England, now part of the borough of Telford and Wrekin.
  • E. Wellington
    Wellington is a small village in Lorain County, Ohio, known for its historic downtown and rural Midwestern character.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95e8c8908190950e1130f9612823 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cf057908190a0541f0fed4ffd13 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:56 p.m.