Triple
T17220191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayes County |
E417957
|
entity |
| Predicate | bordersCounty |
P6346
|
FINISHED |
| Object | Cherokee County |
—
|
NE ONNED1 |
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: Cherokee County | Statement: [Mayes County, bordersCounty, Cherokee County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherokee County Context triple: [Mayes County, bordersCounty, Cherokee County]
-
A.
Cherokee County
Cherokee County is a county in north Georgia known historically for its role in the state’s gold rush and its location within the Atlanta metropolitan area.
-
B.
Cherokee County
chosen
Cherokee County is a county in northeastern Oklahoma known for its rich Cherokee Nation heritage and the city of Tahlequah, the Cherokee Nation capital.
-
C.
Cherokee County
Cherokee County is a county in the U.S. state of South Carolina known for its mix of rural communities, historical sites, and its location in the state’s Upstate region.
-
D.
Baca County
Baca County is a sparsely populated, agriculture-focused county located in the southeastern corner of the U.S. state of Colorado.
-
E.
Burke County
Burke County is a largely rural county in eastern Georgia known for its agricultural landscape and small towns such as Sardis and Waynesboro.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddd52d4819098b51d55e063c8ab |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195443f54819098130cf593eb56cb |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:38 a.m.