Triple

T11155875
Position Surface form Disambiguated ID Type / Status
Subject Minister of Education (New Zealand) E263903 entity
Predicate seat P75 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: [Minister of Education (New Zealand), seat, Wellington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wellington
Context triple: [Minister of Education (New Zealand), seat, 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
    Wellington is a Chicago Transit Authority 'L' station on the Brown Line located in the Lakeview neighborhood of Chicago, Illinois.
  • C. 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.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5254907348190a9652395f15b2044 completed April 19, 2026, 6:56 p.m.
Created at: April 8, 2026, 9:28 p.m.