Triple

T5286305
Position Surface form Disambiguated ID Type / Status
Subject New Zealand E119627 entity
Predicate hasLargestCity P235 FINISHED
Object Auckland E18491 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: Auckland | Statement: [New Zealand, hasLargestCity, Auckland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auckland
Context triple: [New Zealand, hasLargestCity, Auckland]
  • A. Auckland chosen
    Auckland is a major New Zealand metropolis known for its harbors, multicultural population, and role as the country’s primary economic and transport hub.
  • B. 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.
  • 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 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.
  • E. Wellington
    Wellington is a market town in Shropshire, England, now part of the borough of Telford and Wrekin.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84d7de908190820c31fe6eb98dac completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a8c43988190814e3b2cca509f15 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 1:52 p.m.