Triple

T18311234
Position Surface form Disambiguated ID Type / Status
Subject Gaines Township, Michigan E438628 entity
Predicate hasRegionalAmenity P131288 FINISHED
Object proximity to Gerald R. Ford International Airport 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: proximity to Gerald R. Ford International Airport | Statement: [Gaines Township, Michigan, hasRegionalAmenity, proximity to Gerald R. Ford International Airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRegionalAmenity
Context triple: [Gaines Township, Michigan, hasRegionalAmenity, proximity to Gerald R. Ford International Airport]
  • A. hasCivicAmenity
    Indicates that an entity possesses, provides, or is associated with a public facility or service intended for community use.
  • B. hasAmenityAccessTo
    Indicates that an entity has the right or ability to use or benefit from a specified amenity or facility.
  • C. typicalAmenity
    Indicates that something is a common or characteristic amenity typically associated with a given entity or context.
  • D. hasRegionalPark
    Indicates that a place or administrative area contains or is served by a designated regional park.
  • E. amenity
    Indicates that one entity provides a useful facility, service, or feature that enhances the convenience or comfort of another entity.
  • F. None of above. chosen

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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69e44fdf43d08190bbcfb6b1fe3cc0ee completed April 19, 2026, 3:45 a.m.
PDg Predicate description generation batch_69e451a0ba208190a5fe92832a8f7a49 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 10:36 a.m.