Triple

T4940510
Position Surface form Disambiguated ID Type / Status
Subject Austin Straubel International Airport E110919 entity
Predicate operator P179 FINISHED
Object Brown County E487443 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: Brown County | Statement: [Austin Straubel International Airport, operator, Brown County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown County
Context triple: [Austin Straubel International Airport, operator, Brown County]
  • A. Brown County chosen
    Brown County is a county in northeastern Wisconsin that includes the city of Green Bay and operates various public facilities and services for its residents.
  • B. Smith County
    Smith County is a rural county in central Mississippi known for its small communities, agriculture, and pine forests.
  • C. Emmet County
    Emmet County is a county in the northwestern Lower Peninsula of Michigan, known for its Lake Michigan shoreline, resort communities like Petoskey and Harbor Springs, and scenic natural landscapes.
  • D. Blanco County
    Blanco County is a rural county in central Texas known for its scenic Hill Country landscapes, small towns, and outdoor recreation along the Blanco River.
  • E. Hastings County
    Hastings County is a large, predominantly rural county in eastern Ontario, Canada, known for its forests, lakes, and outdoor recreation opportunities.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708a3dcc81908b6628864fe0db0a completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c4857cc819085fbdd996134a5e8 completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:31 p.m.