Triple
T17536529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tullahoma |
E427074
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Coffee 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: Coffee County | Statement: [Tullahoma, locatedIn, Coffee County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coffee County Context triple: [Tullahoma, locatedIn, Coffee County]
-
A.
Coffee County
chosen
Coffee County is a county in southern Middle Tennessee known for its mix of small cities like Tullahoma and rural communities, as well as hosting major events such as the Bonnaroo Music and Arts Festival.
-
B.
Blount County
Blount County is a county in north-central Alabama known for its rural communities, scenic landscapes, and historic covered bridges.
-
C.
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.
-
D.
Bullitt County
Bullitt County is a county in north-central Kentucky that forms part of the Louisville metropolitan area and includes communities such as Lebanon Junction.
-
E.
Chilton County
Chilton County is a central Alabama county best known for its extensive peach orchards and agricultural production.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536d03dc81908b8a58f66657c01a |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.