Triple
T20443831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DuBois |
E501462
|
entity |
| Predicate | locatedInAdministrativeTerritory |
P40
|
FINISHED |
| Object | Clearfield County |
E840410
|
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: Clearfield County | Statement: [DuBois, locatedInAdministrativeTerritory, Clearfield County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clearfield County Context triple: [DuBois, locatedInAdministrativeTerritory, Clearfield County]
-
A.
Clearfield County
chosen
Clearfield County is a largely rural county in central Pennsylvania known for its forests, outdoor recreation, and small communities.
-
B.
Beaver County
Beaver County is a rural county in southwestern Utah known for its mountainous terrain, outdoor recreation, and the county seat of Beaver.
-
C.
Beaver County
Beaver County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
-
D.
Beaver County
Beaver County is a sparsely populated county in the Oklahoma Panhandle known for its agricultural economy and wide-open High Plains landscape.
-
E.
Mingo County
Mingo County is a rural county in the coal-rich Appalachian region of southern West Virginia, known historically for coal mining and labor struggles such as the Mine Wars.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfa7dd08190883a37e3480b152c |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088401774081909ac697258222235b |
completed | May 16, 2026, 2:49 p.m. |
Created at: April 16, 2026, 11:32 a.m.