Triple
T21831412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama State Route 23 |
E539002
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Steele, 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: Steele, Alabama | Statement: [Alabama State Route 23, connects, Steele, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steele, Alabama Context triple: [Alabama State Route 23, connects, Steele, Alabama]
-
A.
Steele, Alabama
chosen
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
B.
Stevenson, Alabama
Stevenson, Alabama is a small city in northeastern Alabama known for its historic railroad significance and location near the Tennessee River.
-
C.
Langston, Alabama
Langston, Alabama is a small town in Jackson County known for its location along the shores of Lake Guntersville in northeastern Alabama.
-
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.
Straughn, Alabama
Straughn, Alabama is a small unincorporated rural community located in Covington 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091362d9081909f00ad7a2806d5cb |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:55 p.m.