Triple
T9547014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawson County |
E230317
|
entity |
| Predicate | bordersCounty |
P6346
|
FINISHED |
| Object | Gilmer County |
E211401
|
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: Gilmer County | Statement: [Dawson County, bordersCounty, Gilmer County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilmer County Context triple: [Dawson County, bordersCounty, Gilmer County]
-
A.
Gilmer County
chosen
Gilmer County is a county in northern Georgia known for its mountainous terrain, apple orchards, and outdoor recreation in the foothills of the Appalachian Mountains.
-
B.
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.
-
C.
Graham County
Graham County is a largely rural county in southeastern Arizona known for its agricultural communities, desert landscapes, and proximity to the Pinaleño Mountains and Mount Graham.
-
D.
Meade County
Meade County is a county in western South Dakota known for its paleontological sites and proximity to the Black Hills region.
-
E.
Meade County
Meade County is a county-level jurisdiction in the U.S. state of Kentucky, with Brandenburg serving as its county seat.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9902fca081909125660ae6336d3f |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18211c1408190806823e93932c64c |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 8:02 p.m.