Triple
T9119595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auglaize County |
E218809
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object | Auglaize County |
E218809
|
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: Auglaize County | Statement: [Auglaize County, subdivisionName, Auglaize County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auglaize County Context triple: [Auglaize County, subdivisionName, Auglaize County]
-
A.
Auglaize County
chosen
Auglaize County is a county in western Ohio known for its agricultural communities and its county seat, Wapakoneta.
-
B.
Oxford County
Oxford County is a largely rural county in western Maine known for its small towns, forests, and outdoor recreation areas.
-
C.
Oxford County
Oxford County is a regional municipality in southwestern Ontario, Canada, known for its agricultural communities and the city of Woodstock as its largest urban center.
-
D.
Ottawa County
Ottawa County is a county in western Michigan known for its Lake Michigan shoreline, agricultural communities, and cities such as Holland and Grand Haven.
-
E.
Lääne County
Lääne County is a coastal administrative region in western Estonia known for its historic town of Haapsalu and its Baltic Sea shoreline.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a902e08190a7eb4728f32b9e1d |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030867d248190ad5b5ba3047426bb |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:17 p.m.