Triple
T19517999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pike County, Alabama |
E488326
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Brundidge, 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: Brundidge, Alabama | Statement: [Pike County, Alabama, hasCity, Brundidge, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brundidge, Alabama Context triple: [Pike County, Alabama, hasCity, Brundidge, Alabama]
-
A.
Brundidge, Alabama
chosen
Brundidge, Alabama is a small city in southeastern Alabama known historically for its peanut butter production and rural community character.
-
B.
Eldridge, Alabama
Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
-
C.
Milstead, Alabama
Milstead, Alabama is a small unincorporated rural community located in Macon County in the east-central part of the state.
-
D.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
E.
Vredenburgh, Alabama
Vredenburgh, Alabama is a small rural town located in Monroe County in the southern part of the state.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359da24c81909a0fd165a0fc0e33 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.