Triple

T9081950
Position Surface form Disambiguated ID Type / Status
Subject Shelton, Washington E217649 entity
Predicate hasAirport P105 FINISHED
Object Sanderson Field
Sanderson Field is a public airport serving the city of Shelton and the surrounding Mason County area in Washington State.
E775686 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: Sanderson Field | Statement: [Shelton, Washington, hasAirport, Sanderson Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanderson Field
Context triple: [Shelton, Washington, hasAirport, Sanderson Field]
  • A. Reeves Field
    Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
  • B. Daugherty Field
    Daugherty Field is the municipal airport serving Long Beach, California, known for its historic terminal and role as a hub for both commercial and general aviation.
  • C. Eaker Field
    Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
  • D. McNary Field
    McNary Field is a public airport serving Salem, Oregon, providing regional air transportation and general aviation services.
  • E. Eichelberger Field
    Eichelberger Field is a collegiate softball stadium that serves as the home field for the University of Illinois Fighting Illini softball team.
  • 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: Sanderson Field
Triple: [Shelton, Washington, hasAirport, Sanderson Field]
Generated description
Sanderson Field is a public airport serving the city of Shelton and the surrounding Mason County area in Washington State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sanderson Field
Target entity description: Sanderson Field is a public airport serving the city of Shelton and the surrounding Mason County area in Washington State.
  • A. Reeves Field
    Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
  • B. Daugherty Field
    Daugherty Field is the municipal airport serving Long Beach, California, known for its historic terminal and role as a hub for both commercial and general aviation.
  • C. Eaker Field
    Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
  • D. McNary Field
    McNary Field is a public airport serving Salem, Oregon, providing regional air transportation and general aviation services.
  • E. Eichelberger Field
    Eichelberger Field is a collegiate softball stadium that serves as the home field for the University of Illinois Fighting Illini softball team.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9608a82481908918821884ba5796 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe28ae548190924cc7bbf453f3f3 completed April 3, 2026, 5:51 p.m.
NEDg Description generation batch_69d000d5b24481908679dbb92372c4b9 completed April 3, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69d001692c3481909924615717e316c2 completed April 3, 2026, 6:05 p.m.
Created at: March 30, 2026, 7:13 p.m.