Triple
T2719503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffee County, Alabama |
E60047
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Elba, Alabama |
E293179
|
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: Elba, Alabama | Statement: [Coffee County, Alabama, hasCity, Elba, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elba, Alabama Context triple: [Coffee County, Alabama, hasCity, Elba, Alabama]
-
A.
Elba, Alabama
chosen
Elba, Alabama is a small city in southeastern Alabama known for its historic downtown and repeated flooding from the nearby Pea River.
-
B.
Isabella, Alabama
Isabella, Alabama is a small unincorporated rural community located in Chilton County in the central part of the state.
-
C.
Empire, Alabama
Empire, Alabama is a small unincorporated community located in Walker County in the north-central region of the state.
-
D.
Argo, Alabama
Argo, Alabama is a small town in the Birmingham metropolitan area known for its suburban-rural character within central Alabama.
-
E.
Atmore, Alabama
Atmore, Alabama is a small city in Escambia County near the Florida state line, known historically for its railroad roots and proximity to several state and federal correctional facilities.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaaee104819085966bc54d5da9c0 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbc05d148190b6a0faf10443519d |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:55 p.m.