Triple
T9202902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallapoosa County |
E220890
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Elmore County |
E160028
|
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: Elmore County | Statement: [Tallapoosa County, hasBorderWith, Elmore County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmore County Context triple: [Tallapoosa County, hasBorderWith, Elmore County]
-
A.
Elmore County
chosen
Elmore County is a county in central Alabama known for its mix of suburban communities, rural areas, and proximity to the Montgomery metropolitan region.
-
B.
Elmore County
Elmore County is a largely rural county in Idaho known for its agricultural lands, mountain landscapes, and the presence of Mountain Home Air Force Base.
-
C.
Wheeler County
Wheeler County is a rural county in central Georgia known for its small population, agricultural landscape, and location along the Oconee River.
-
D.
Wheeler County
Wheeler County is a rural county in the eastern Texas Panhandle known for its ranching, agriculture, and small-town communities.
-
E.
Blaine County
Blaine County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd944e6208190adfcc7f75197387d |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152586ca08190854463dfdd1f727c |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 7:26 p.m.