Triple
T22748807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | downtown Prattville historic area |
E562632
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object | City of Prattville |
—
|
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: City of Prattville | Statement: [downtown Prattville historic area, governingBody, City of Prattville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Prattville Context triple: [downtown Prattville historic area, governingBody, City of Prattville]
-
A.
City of Sylacauga
The City of Sylacauga is a small Alabama city known for its high-quality white marble quarries and historic Southern character.
-
B.
Coffeeville, Alabama
Coffeeville, Alabama is a small town in Clarke County known for its historic roots and proximity to the Tombigbee River in southwestern Alabama.
-
C.
Plantersville, Alabama
Plantersville, Alabama is a small unincorporated rural community in central Alabama known for its historic character and agricultural surroundings.
-
D.
Carbon Hill, Alabama
Carbon Hill is a small city in northwestern Alabama known historically as a coal-mining community within Walker County.
-
E.
Prattville
chosen
Prattville is a city in central Alabama known for its historic downtown, proximity to Montgomery, and strong ties to the manufacturing and paper industries.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b822988190b5368ac1f4e1d70a |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.