Triple
T16047389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petoskey |
E389258
|
entity |
| Predicate | isCountySeatOf |
P383
|
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: [Petoskey, isCountySeatOf, Emmet County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmet County Context triple: [Petoskey, isCountySeatOf, 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835eda348190aff492f0ff668cce |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb893f988190a0693564bbe78ca1 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.