Triple
T18466490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauta Cave |
E451175
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Scottsboro, 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: Scottsboro, Alabama | Statement: [Sauta Cave, near, Scottsboro, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scottsboro, Alabama Context triple: [Sauta Cave, near, Scottsboro, Alabama]
-
A.
Scottsboro
chosen
Scottsboro is a small city in northeastern Alabama known for its location along the Tennessee River and as the site of the historic Scottsboro Boys trials.
-
B.
Black, Alabama
Black, Alabama is a small rural town located in southeastern Alabama near the Florida border.
-
C.
Southside, Alabama
Southside, Alabama is a small city in northeastern Alabama situated along the Coosa River, known for its suburban residential character and proximity to Gadsden.
-
D.
Creola, Alabama
Creola, Alabama is a small city in southwestern Alabama that forms part of the Mobile metropolitan area.
-
E.
Moody, Alabama
Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a83a27c8190aafb82f615c2dd72 |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:34 a.m.