Triple
T23039135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panola Mountain State Park |
E573687
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Henry County |
—
|
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: Henry County | Statement: [Panola Mountain State Park, county, Henry County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry County Context triple: [Panola Mountain State Park, county, Henry County]
-
A.
Henry County
chosen
Henry County is a county in the U.S. state of Georgia, located south of Atlanta and part of the Atlanta metropolitan area.
-
B.
Henry County
Henry County is a county in southern Virginia known for its mix of rural communities, manufacturing history, and proximity to the Blue Ridge Mountains.
-
C.
Henry County
Henry County is a county located in the southeastern part of the U.S. state of Alabama.
-
D.
Kelan County
Kelan County is a county in Xinzhou, Shanxi Province, China, known for its proximity to the Taiyuan Satellite Launch Center, one of the country’s major space launch facilities.
-
E.
Hardeman County
Hardeman County is a rural county in northern Texas known for its agricultural economy and small-town communities near the Oklahoma border.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185121da0819095b523d7d2c923ab |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:53 p.m.