Triple
T23379874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bon Air |
E593712
|
entity |
| Predicate | sharesCountyWith |
P96061
|
FINISHED |
| Object | Sylacauga |
—
|
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: Sylacauga | Statement: [Bon Air, sharesCountyWith, Sylacauga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylacauga Context triple: [Bon Air, sharesCountyWith, Sylacauga]
-
A.
Sylacauga, Alabama
chosen
Sylacauga, Alabama is a small city in central Alabama known for its rich marble quarries and the famous 1954 meteorite that struck a local resident.
-
B.
Glenville
Glenville is a small rural community located within the Township of King in Ontario, Canada.
-
C.
Glenville
Glenville is a historic neighborhood on Cleveland’s east side known for its cultural heritage and proximity to major institutions in University Circle.
-
D.
Glenville
Glenville is a residential neighborhood and historic mill village in the western part of Greenwich, Connecticut.
-
E.
Berea
Berea is a small city in northeastern Ohio, United States, known for housing Baldwin Wallace University and its proximity to Cleveland.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b6ddfc8190a23d291286f3fe42 |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:34 p.m.