Triple

T19871807
Position Surface form Disambiguated ID Type / Status
Subject Hays Regional Airport E477533 entity
Predicate owner P347 FINISHED
Object City of Hays 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: City of Hays | Statement: [Hays Regional Airport, owner, City of Hays]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Hays
Context triple: [Hays Regional Airport, owner, City of Hays]
  • A. City of Hays chosen
    The City of Hays is the largest city and regional economic and cultural center of western Kansas, known for its historical ties to the American frontier and Fort Hays.
  • B. Hays
    Hays is a surname most notably associated with Will H. Hays, the American politician and film industry figure behind the early Hollywood production code.
  • C. Hill City
    Hill City is a small tourist-oriented town in South Dakota’s Black Hills, known as a gateway to nearby attractions like Mount Rushmore and Custer State Park.
  • D. City of Le Mars
    The City of Le Mars is a municipal government in Iowa known for overseeing local services and public safety agencies within its community.
  • E. Haysville, Kansas
    Haysville, Kansas is a small suburban city within the Wichita metropolitan area known for its residential character and community-focused atmosphere.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.