Triple

T15482158
Position Surface form Disambiguated ID Type / Status
Subject Nolan County E376944 entity
Predicate hasAirport P105 FINISHED
Object Avenger Field
Avenger Field is a historic airfield in Nolan County, Texas, best known as a World War II training base for Women Airforce Service Pilots (WASP).
E1159558 NE FINISHED

How this triple was built (4 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: Avenger Field | Statement: [Nolan County, hasAirport, Avenger Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avenger Field
Context triple: [Nolan County, hasAirport, Avenger Field]
  • A. Warhawk Field
    Warhawk Field is the home baseball stadium of the University of Louisiana Monroe Warhawks, hosting the school's collegiate baseball games and related events.
  • B. Miller Field
    Miller Field is a large recreational and athletic complex on Staten Island that serves as a key outdoor sports and community gathering area.
  • C. Eaker Field
    Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
  • D. Lewis Field
    Lewis Field is a NASA research facility associated with the Glenn Research Center, supporting aerospace technology development and testing.
  • E. Reeves Field
    Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Avenger Field
Triple: [Nolan County, hasAirport, Avenger Field]
Generated description
Avenger Field is a historic airfield in Nolan County, Texas, best known as a World War II training base for Women Airforce Service Pilots (WASP).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avenger Field
Target entity description: Avenger Field is a historic airfield in Nolan County, Texas, best known as a World War II training base for Women Airforce Service Pilots (WASP).
  • A. Warhawk Field
    Warhawk Field is the home baseball stadium of the University of Louisiana Monroe Warhawks, hosting the school's collegiate baseball games and related events.
  • B. Miller Field
    Miller Field is a large recreational and athletic complex on Staten Island that serves as a key outdoor sports and community gathering area.
  • C. Eaker Field
    Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
  • D. Lewis Field
    Lewis Field is a NASA research facility associated with the Glenn Research Center, supporting aerospace technology development and testing.
  • E. Reeves Field
    Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
  • F. None of above. chosen

Provenance (5 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0d6ef0819091623de2888a7101 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff302422488190aa70a6d6e07feea6 completed May 9, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff313c2a208190b25a3cebf2d742f5 completed May 9, 2026, 1:06 p.m.
Created at: April 10, 2026, 3:38 a.m.