Triple
T10077485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambria County |
E213805
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Clearfield County
Clearfield County is a largely rural county in central Pennsylvania known for its forests, outdoor recreation, and small communities.
|
E840410
|
NE FINISHED |
How this triple was built (4 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: [Cambria County, borderedBy, Clearfield County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clearfield County Context triple: [Cambria County, borderedBy, Clearfield County]
-
A.
Beaver County
Beaver County is a rural county in southwestern Utah known for its mountainous terrain, outdoor recreation, and the county seat of Beaver.
-
B.
Beaver County
Beaver County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
-
C.
Beaver County
Beaver County is a sparsely populated county in the Oklahoma Panhandle known for its agricultural economy and wide-open High Plains landscape.
-
D.
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.
-
E.
McKean County
McKean County is a largely rural county in north-central Pennsylvania known for its forests, outdoor recreation, and small industrial communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Clearfield County Triple: [Cambria County, borderedBy, Clearfield County]
Generated description
Clearfield County is a largely rural county in central Pennsylvania known for its forests, outdoor recreation, and small communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clearfield County Target entity description: Clearfield County is a largely rural county in central Pennsylvania known for its forests, outdoor recreation, and small communities.
-
A.
Beaver County
Beaver County is a rural county in southwestern Utah known for its mountainous terrain, outdoor recreation, and the county seat of Beaver.
-
B.
Beaver County
Beaver County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
-
C.
Beaver County
Beaver County is a sparsely populated county in the Oklahoma Panhandle known for its agricultural economy and wide-open High Plains landscape.
-
D.
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.
-
E.
McKean County
McKean County is a largely rural county in north-central Pennsylvania known for its forests, outdoor recreation, and small industrial communities.
- F. None of above. chosen
Provenance (5 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd02f47e08190bfeb641b202beecc |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6550da881908fd5311e7b46ef24 |
completed | April 5, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d2b78f3c248190b104937e2d669882 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b84a26a481908ab2705d5883cfce |
completed | April 5, 2026, 7:30 p.m. |
Created at: March 30, 2026, 8:59 p.m.