Triple
T13860676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anniston–Oxford metropolitan area |
E333186
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Saks, Alabama |
E616595
|
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: Saks, Alabama | Statement: [Anniston–Oxford metropolitan area, containsSettlement, Saks, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saks, Alabama Context triple: [Anniston–Oxford metropolitan area, containsSettlement, Saks, Alabama]
-
A.
Saks, Alabama
chosen
Saks, Alabama is an unincorporated community and census-designated place in northeastern Alabama, situated near the city of Anniston.
-
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.
Slocomb, Alabama
Slocomb, Alabama is a small city in southeastern Alabama known for its agricultural roots and annual "Tomato Festival."
-
D.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
E.
Snead, Alabama
Snead, Alabama is a small town located in northeastern Alabama known for its rural character and community-oriented atmosphere.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0fd3ffc8190965a730843411b80 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.