Triple
T11622987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall County |
E276186
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Lumpkin County |
E238436
|
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: Lumpkin County | Statement: [Hall County, borders, Lumpkin County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumpkin County Context triple: [Hall County, borders, Lumpkin County]
-
A.
Lumpkin County
chosen
Lumpkin County is a county in northern Georgia known historically as a center of the Georgia Gold Rush and for its location in the Appalachian foothills.
-
B.
Terrell County
Terrell County is a sparsely populated rural county in southwestern Texas known for its rugged desert landscapes and ranching heritage.
-
C.
Bleckley County
Bleckley County is a rural county in central Georgia known for its agricultural landscape and small-town communities.
-
D.
Grady County
Grady County is a rural county in southwestern Georgia, United States, known for its agricultural economy and for having Cairo as its county seat.
-
E.
Grady County
Grady County is a county in central Oklahoma known for its agricultural economy and communities such as Chickasha.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f28092eb108190be203276e7dfa4b5 |
completed | April 29, 2026, 10:05 p.m. |
Created at: April 8, 2026, 9:39 p.m.