Triple
T17415910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellefontaine City Schools |
E423488
|
entity |
| Predicate | serviceArea |
P82
|
FINISHED |
| Object | City of Bellefontaine |
—
|
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: City of Bellefontaine | Statement: [Bellefontaine City Schools, serviceArea, City of Bellefontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Bellefontaine Context triple: [Bellefontaine City Schools, serviceArea, City of Bellefontaine]
-
A.
Fort Bellefontaine
Fort Bellefontaine was an early 19th-century U.S. military post near St. Louis that served as a key frontier outpost and staging point for western exploration and expansion.
-
B.
Bellefontaine
chosen
Bellefontaine is a French-origin surname borne by various individuals, including Benedict Bellefontaine.
-
C.
City of Minden
The City of Minden is a historic German town that played a role in the Reformation-era Schmalkaldic League of Protestant territories.
-
D.
Town of LaSalle
The Town of LaSalle is a suburban municipality in southwestern Ontario, Canada, located along the Detroit River just south of Windsor.
-
E.
Brouseville
Brouseville is a small rural community located within the township of Edwardsburgh/Cardinal in eastern Ontario, Canada.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44232ecdc8190ac8958c1780fea19 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.