Triple
T9870839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perdido Beach, Alabama |
E239951
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Elberta, Alabama |
E346798
|
NE FINISHED |
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: Elberta, Alabama | Statement: [Perdido Beach, Alabama, nearbyCity, Elberta, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elberta, Alabama Context triple: [Perdido Beach, Alabama, nearbyCity, Elberta, Alabama]
-
A.
Elberta, Alabama
chosen
Elberta, Alabama is a small town in southern Alabama known for its rural character and community events like the biannual German Sausage Festival.
-
B.
Eldridge, Alabama
Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
-
C.
Cottonwood, Alabama
Cottonwood, Alabama is a small town in southeastern Alabama that forms part of the Dothan metropolitan area.
-
D.
Brundidge, Alabama
Brundidge, Alabama is a small city in southeastern Alabama known historically for its peanut butter production and rural community character.
-
E.
Pinckard, Alabama
Pinckard, Alabama is a small town in southeastern Alabama known for its rural character and proximity to the city of Dothan and nearby military installations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d62628819094786a49b9bcd09b |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269c58bec8190bfba07c7ef3a91f8 |
completed | April 5, 2026, 1:55 p.m. |
Created at: March 30, 2026, 8:36 p.m.