Triple

T9479737
Position Surface form Disambiguated ID Type / Status
Subject All Whites E228602 entity
Predicate usesStadiumIn P25179 FINISHED
Object Auckland E18491 NE FINISHED

How this triple was built (3 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: [All Whites, usesStadiumIn, Auckland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auckland
Context triple: [All Whites, usesStadiumIn, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesStadiumIn
Context triple: [All Whites, usesStadiumIn, Auckland]
  • A. hasStadiumUse chosen
    Indicates that one entity (typically a team, organization, or event) uses or is authorized to use a particular stadium for its activities or purposes.
  • B. containsStadium
    Indicates that a location or area includes a stadium within its boundaries or premises.
  • C. usesStadiumAsOffice
    Indicates that an entity utilizes a stadium facility as its primary place of business or administrative operations.
  • D. locatedInStadium
    Indicates that an entity is situated within or at the premises of a specific stadium.
  • E. homeStadiumUse
    Indicates that a particular stadium is used as the home venue by a specific team or organization.
  • F. None of above.

Provenance (4 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8016813881908dafc026779c89c4 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16122898c8190947a821f69f957cc completed April 4, 2026, 7:06 p.m.
PD Predicate disambiguation batch_69cca561e6b0819090aa795f3c3a2083 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:54 p.m.