Triple

T14131500
Position Surface form Disambiguated ID Type / Status
Subject Pellston Regional Airport E350177 entity
Predicate owner P347 FINISHED
Object Emmet County E268716 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: Emmet County | Statement: [Pellston Regional Airport, owner, Emmet County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmet County
Context triple: [Pellston Regional Airport, owner, Emmet County]
  • A. Emmet County chosen
    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.
  • B. Wood County
    Wood County is a county in central Wisconsin known for its mix of small cities, agricultural areas, and paper industry heritage.
  • C. Limestone County
    Limestone County is a county in northern Alabama known for its mix of agricultural communities, growing suburban areas, and proximity to the Huntsville metropolitan region.
  • D. Livingston County
    Livingston County is a largely suburban and rural county in southeastern Michigan known for its growing communities, parks, and proximity to the Detroit and Ann Arbor metropolitan areas.
  • E. Brown County
    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.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610cece88190b4a86500677e5938 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193728d88190acdb08ad0cf8b394 completed May 7, 2026, 10:59 p.m.
Created at: April 9, 2026, 11:03 p.m.