Triple

T20946965
Position Surface form Disambiguated ID Type / Status
Subject Runway 16/34 E515867 entity
Predicate locatedIn P40 FINISHED
Object Wellington NE NERFINISHED

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: [Runway 16/34, locatedIn, Wellington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wellington
Context triple: [Runway 16/34, locatedIn, 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
    Wellington is a historic market town in Somerset, England, known for its association with the Duke of Wellington and its role as a local commercial and residential center.
  • D. 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.
  • 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 (2 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad97aa48190b4be692e3afce8c9 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:56 p.m.