Triple
T23092142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verbena High School |
E575783
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Chilton County |
—
|
NE NERFINISHED |
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: Chilton County | Statement: [Verbena High School, county, Chilton County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chilton County Context triple: [Verbena High School, county, Chilton County]
-
A.
Chilton County
chosen
Chilton County is a central Alabama county best known for its extensive peach orchards and agricultural production.
-
B.
Tallapoosa County
Tallapoosa County is a county in east-central Alabama known for Lake Martin, outdoor recreation, and its county seat, Dadeville.
-
C.
Dale County
Dale County is a county in southeastern Alabama known for its association with Fort Novosel (formerly Fort Rucker) and its role in the Wiregrass region.
-
D.
Blount County
Blount County is a county in north-central Alabama known for its rural communities, scenic landscapes, and historic covered bridges.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18daa68d48190842e9cb6de31ea79 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.