Triple
T17877902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid-Michigan |
E447004
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object | Isabella County |
—
|
NE NERFINISHED |
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: Isabella County | Statement: [Mid-Michigan, containsCounty, Isabella County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabella County Context triple: [Mid-Michigan, containsCounty, Isabella County]
-
A.
Isabella County
chosen
Isabella County is a county in the U.S. state of Michigan, known for being home to the city of Mount Pleasant and Central Michigan University.
-
B.
Pike County
Pike County is a rural county in northeastern Pennsylvania known for its forests, rivers, and location along the Delaware River near the New York and New Jersey borders.
-
C.
Pike County
Pike County is a county in southeastern Alabama known for its agricultural economy and as the home of Troy University.
-
D.
Pike County
Pike County is a county in west-central Georgia, United States, known for its rural character and location within the Atlanta metropolitan area’s broader region.
-
E.
Pike County
Pike County is a rural county in southwestern Indiana known for its agricultural landscape, small communities, and proximity to coal mining and outdoor recreation areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0c46108190b8edef2572b5ba90 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.