Triple
T19973791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potter County |
E493634
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Coudersport |
—
|
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: Coudersport | Statement: [Potter County, countySeat, Coudersport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coudersport Context triple: [Potter County, countySeat, Coudersport]
-
A.
Coudersport, Pennsylvania
chosen
Coudersport, Pennsylvania is a small borough in north-central Pennsylvania known for its rural setting, historic downtown, and proximity to the dark skies of Cherry Springs State Park.
-
B.
Wellsboro
Wellsboro is a small historic borough in north-central Pennsylvania known for its charming gas-lit streets and proximity to the Pennsylvania Grand Canyon.
-
C.
Meadville
Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
-
D.
Pottsville
Pottsville is a small coastal town in northern New South Wales, Australia, known for its beaches and relaxed residential atmosphere.
-
E.
Mattersburg
Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcb72048190aedb4f085ace0493 |
completed | April 20, 2026, 5 p.m. |
Created at: April 11, 2026, 3:17 p.m.