Triple

T30827231
Position Surface form Disambiguated ID Type / Status
Subject Cottage Grove State Airport E785104 entity
Predicate distanceFromCityCenterReference P1299 FINISHED
Object central business district of Cottage Grove LITERAL 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: central business district of Cottage Grove | Statement: [Cottage Grove State Airport, distanceFromCityCenterReference, central business district of Cottage Grove]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distanceFromCityCenterReference
Context triple: [Cottage Grove State Airport, distanceFromCityCenterReference, central business district of Cottage Grove]
  • A. roadDistanceToCityCentre_km
    Indicates the distance in kilometers from a location to the city centre when traveling by road.
  • B. isFartherFromCityCenterThan
    Indicates that one location is at a greater distance from the city center than another location.
  • C. directionFromCityCenter
    Indicates the compass direction in which one location lies relative to the city center.
  • D. distanceFromDowntown chosen
    Indicates the physical distance between a given location and the central downtown area.
  • E. distanceFromCityCenterDirection
    Indicates the distance and compass direction of a location relative to the center of a specified city.
  • F. None of above.

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_69f224b6642481909e8d701de2cd1a53 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a0164b052608190adc93240dad50a06 completed May 11, 2026, 5:10 a.m.
PD Predicate disambiguation batch_6a01637fd3ac8190970eb09650d1e659 completed May 11, 2026, 5:05 a.m.
Created at: April 29, 2026, 8:44 p.m.