Triple
T33376683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor, Michigan |
E854646
|
entity |
| Predicate | countrySubdivisionCodeISO |
P61929
|
FINISHED |
| Object | US-MI |
—
|
LITERAL 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: US-MI | Statement: [Bangor, Michigan, countrySubdivisionCodeISO, US-MI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countrySubdivisionCodeISO Context triple: [Bangor, Michigan, countrySubdivisionCodeISO, US-MI]
-
A.
countrySubdivision
Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
-
B.
countrySubdivisionType
Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
-
C.
associatedCountrySubdivisionCode
chosen
Indicates the specific administrative region or subdivision code within a country that is linked to or relevant for the given entity.
-
D.
coordinatesCountrySubdivision
Indicates that one entity is responsible for organizing, managing, or overseeing the administrative or operational aspects of a specific country subdivision.
-
E.
associatedSubdivisionISO3166-1Alpha2
Indicates that a subdivision (such as a state or province) is associated with a specific country identified by its ISO 3166-1 alpha-2 code.
- F. None of above.
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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00ae638fcc819096537b2c21366161 |
completed | May 10, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_6a00ae0551988190bcb3564ed9af2847 |
completed | May 10, 2026, 4:10 p.m. |
Created at: May 1, 2026, 1:35 a.m.