Triple
T5668880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dothan |
E124923
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Henry County |
E220891
|
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: Henry County | Statement: [Dothan, county, Henry County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry County Context triple: [Dothan, county, Henry County]
-
A.
Henry County
chosen
Henry County is a county located in the southeastern part of the U.S. state of Alabama.
-
B.
Blount County
Blount County is a county in eastern Tennessee known for encompassing part of the Great Smoky Mountains and serving as a suburban and recreational area near Knoxville.
-
C.
Blount County
Blount County is a county in north-central Alabama known for its rural communities, scenic landscapes, and historic covered bridges.
-
D.
Fayette County
Fayette County is a rural county in western Alabama known for its small-town communities and agricultural and forestry-based economy.
-
E.
Fayette County
Fayette County is a largely rural county in southwestern Pennsylvania known for its Appalachian landscape, historic industrial and coal-mining heritage, and proximity to the Pittsburgh 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0234891d48190bf662f38ef84d4f3 |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0a7aff08190bca93ac0ab8a9be0 |
completed | March 23, 2026, 3:16 a.m. |
Created at: March 22, 2026, 3:43 p.m.