Triple
T3610996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pocahontas County |
E76484
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Randolph County |
unclear NED1
|
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: Randolph County | Statement: [Pocahontas County, borderedBy, Randolph County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randolph County Context triple: [Pocahontas County, borderedBy, Randolph County]
-
A.
Randolph County
Randolph County is a rural county in eastern Alabama known for its small towns, agricultural landscape, and proximity to the Georgia state line.
-
B.
McDowell County
McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
-
C.
Baca County
Baca County is a sparsely populated, agriculture-focused county located in the southeastern corner of the U.S. state of Colorado.
-
D.
Haralson County
Haralson County is a rural county in western Georgia known historically for its location within the Georgia Gold Belt and its small-town communities.
-
E.
Catawba County
Catawba County is a county in western North Carolina known for its manufacturing base and inclusion in the greater Charlotte metropolitan region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22cac3c8190bc5f7c45d31668c1 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f0989c88190b4c675c7a6ec0e3e |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:23 p.m.