Triple
T13764204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habersham County |
E330693
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Stephens County |
E352455
|
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: Stephens County | Statement: [Habersham County, borders, Stephens County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephens County Context triple: [Habersham County, borders, Stephens County]
-
A.
Stephens County
chosen
Stephens County is a county in northeastern Georgia, United States, known for its location in the Appalachian foothills and its seat, the city of Toccoa.
-
B.
Choctaw County
Choctaw County is a rural county in southwestern Alabama known for its pine forests, timber industry, and small, close-knit communities.
-
C.
Wilkinson County
Wilkinson County is a county in central Georgia, United States, known for its rural character and early 19th-century origins.
-
D.
Rogers County
Rogers County is a county in northeastern Oklahoma known for its county seat of Claremore and its mix of suburban communities and rural landscapes.
-
E.
Creek County
Creek County is a county in northeastern Oklahoma, known for its mix of small towns, rural landscapes, and proximity to the Tulsa metropolitan area.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cfae6bc8190ac6851a3fa2dfb12 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 10:10 p.m.