Triple
T21453562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR 25 (Alabama) |
E529278
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vincent, Alabama |
—
|
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: Vincent, Alabama | Statement: [SR 25 (Alabama), locatedIn, Vincent, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent, Alabama Context triple: [SR 25 (Alabama), locatedIn, Vincent, Alabama]
-
A.
Vincent, Alabama
chosen
Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
-
B.
Vance, Alabama
Vance, Alabama is a small town in Tuscaloosa and Bibb counties best known as the site of a major Mercedes-Benz automobile manufacturing plant.
-
C.
Vashti, Alabama
Vashti, Alabama is an unincorporated rural community located in Clarke County in the southwestern part of the state.
-
D.
Toney, Alabama
Toney, Alabama is an unincorporated rural community in Madison County, located in the northern part of the state near the city of Huntsville.
-
E.
Courtland, Alabama
Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d50b88819081a771596d0a2b2b |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:07 p.m.