Triple
T18431070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Alabama |
E450268
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Butler, 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: Butler, Alabama | Statement: [Western Alabama, hasPart, Butler, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butler, Alabama Context triple: [Western Alabama, hasPart, Butler, Alabama]
-
A.
Butler, Alabama
chosen
Butler, Alabama is a small town in western Alabama that serves as the administrative and commercial center of Choctaw County.
-
B.
Brent, Alabama
Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
-
C.
Booth, Alabama
Booth, Alabama is a small unincorporated rural community located in Autauga County in the central part of the state.
-
D.
Benton, Alabama
Benton, Alabama is a small rural town situated along the Alabama River in central Alabama.
-
E.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b1771788190b26afdf65e9de502 |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 11:26 a.m.