Triple
T6656386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omaha, Georgia |
E150955
|
entity |
| Predicate | isInCounty |
P13451
|
FINISHED |
| Object | Stewart County |
E525855
|
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: Stewart County | Statement: [Omaha, Georgia, isInCounty, Stewart County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stewart County Context triple: [Omaha, Georgia, isInCounty, Stewart County]
-
A.
Stewart County
chosen
Stewart County is a rural county in southwestern Georgia known for its small towns, agricultural landscape, and historic sites.
-
B.
Wilkinson County
Wilkinson County is a county in central Georgia, United States, known for its rural character and early 19th-century origins.
-
C.
Rutherford County
Rutherford County is a county-level jurisdiction in Tennessee, United States, known for its rapidly growing population and the city of Murfreesboro as its county seat.
-
D.
Bailey County
Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
-
E.
Mitchell County
Mitchell County is a rural county in west-central Texas known for its ranching, wind energy production, and the city of Colorado City as its county seat.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b06dbbf88190b39564a688c25a24 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723b575a08190a3e0b1f233c36ba0 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:01 p.m.