Triple

T12675270
Position Surface form Disambiguated ID Type / Status
Subject Ford Airport E302792 entity
Predicate owner P347 FINISHED
Object Dickinson County E279245 NE 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: Dickinson County | Statement: [Ford Airport, owner, Dickinson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dickinson County
Context triple: [Ford Airport, owner, Dickinson County]
  • A. Dickinson County chosen
    Dickinson County is a county in central Kansas known for including the city of Abilene, a historic cattle town and the boyhood home of President Dwight D. Eisenhower.
  • B. Rutherford County
    Rutherford County is a county-level jurisdiction in Tennessee, United States, known for its rapidly growing population and the city of Murfreesboro as its county seat.
  • C. Madison County
    Madison County is a county in central New York State known for its rural communities, agriculture, and small historic towns such as Oneida and Cazenovia.
  • D. Madison County
    Madison County is a rural county in western Montana known for its mountainous landscapes, outdoor recreation, and historic mining and ranching communities.
  • E. Madison County
    Madison County is a rural county in southwestern Iowa, best known for its historic covered bridges and as the setting of "The Bridges of Madison County."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b0d9c88190a05d6cbcb7a1642d completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e25d24e481908253e1af630835f1 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:20 p.m.