Triple

T22426788
Position Surface form Disambiguated ID Type / Status
Subject Tri-City Airport (Kansas) E554390 entity
Predicate servesCity P82 FINISHED
Object Parsons, Kansas 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: Parsons, Kansas | Statement: [Tri-City Airport (Kansas), servesCity, Parsons, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parsons, Kansas
Context triple: [Tri-City Airport (Kansas), servesCity, Parsons, Kansas]
  • A. Parsons, Kansas chosen
    Parsons, Kansas is a small city in Labette County known historically as a regional railroad hub and industrial center in southeastern Kansas.
  • B. Peabody, Kansas
    Peabody, Kansas is a small historic city in central Kansas known for its 19th-century architecture and annual Independence Day celebrations.
  • C. Parker, Kansas
    Parker, Kansas is a small rural city located in Linn County in eastern Kansas, United States.
  • D. Park, Kansas
    Park, Kansas is a small rural city located in Gove County in western Kansas, known for its agricultural surroundings and tight-knit community.
  • E. Newton, Kansas
    Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2e438481908d43026727afa709 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.