Triple
T22623153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Alabama |
E558339
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object | Roanoke, 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: Roanoke, Alabama | Statement: [Eastern Alabama, includesCity, Roanoke, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roanoke, Alabama Context triple: [Eastern Alabama, includesCity, Roanoke, Alabama]
-
A.
Roanoke, Alabama
chosen
Roanoke, Alabama is a small city in eastern Alabama known for its rural character and role as a local commercial and community hub.
-
B.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
C.
Randolph, Alabama
Randolph, Alabama is a small unincorporated rural community located in Bibb County in the central part of the state.
-
D.
Calvert, Alabama
Calvert, Alabama is an unincorporated community in southwestern Alabama known primarily for its large industrial facilities, including a major steel mill.
-
E.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3b97f8819082ea2b23ff4b2173 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3:01 p.m.