Triple
T24186040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of County Commissioners of Preble County |
E599557
|
entity |
| Predicate | responsibleFor |
P636
|
FINISHED |
| Object | appropriating funds for county offices and departments |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: appropriating funds for county offices and departments | Statement: [Board of County Commissioners of Preble County, responsibleFor, appropriating funds for county offices and departments]
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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e2435f108190b1e48856b90234c4 |
completed | April 29, 2026, 10:49 a.m. |
Created at: April 17, 2026, 11:35 p.m.