Triple
T21453633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brierfield, Alabama |
E529280
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Brent, 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: Brent, Alabama | Statement: [Brierfield, Alabama, near, Brent, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent, Alabama Context triple: [Brierfield, Alabama, near, Brent, Alabama]
-
A.
Brent, Alabama
chosen
Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
-
B.
Bryant, Alabama
Bryant, Alabama is an unincorporated community in Jackson County known for its rural character and proximity to the Tennessee state line within the Greater Chattanooga area.
-
C.
Billingsley, Alabama
Billingsley, Alabama is a small rural town in central Alabama known for its close-knit community and agricultural surroundings.
-
D.
Benton, Alabama
Benton, Alabama is a small rural town situated along the Alabama River in central Alabama.
-
E.
Berry, Alabama
Berry, Alabama is a small rural town in western Alabama known for its tight-knit community and location within Fayette 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_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.