Triple
T4491048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guntersville Dam |
E107372
|
entity |
| Predicate | locatedNearCity |
P3883
|
FINISHED |
| Object | Scottsboro, Alabama |
E108521
|
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: Scottsboro, Alabama | Statement: [Guntersville Dam, locatedNearCity, Scottsboro, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scottsboro, Alabama Context triple: [Guntersville Dam, locatedNearCity, 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.
Moody, Alabama
Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
-
D.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
E.
Rosa, Alabama
Rosa, Alabama is a small town located in Blount County in the northern part of the state.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556e69f88190b9c16afc2afcdbef |
completed | March 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda41426ec8190a239da38bd3643fd |
completed | March 20, 2026, 7:46 p.m. |
Created at: March 20, 2026, 12:59 p.m.