Triple
T14072517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuscaloosa metropolitan area |
E338645
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object | Hale County |
E166077
|
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: Hale County | Statement: [Tuscaloosa metropolitan area, hasCounty, Hale County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hale County Context triple: [Tuscaloosa metropolitan area, hasCounty, Hale County]
-
A.
Hale County
chosen
Hale County is a rural county in west-central Alabama known for its agricultural landscape, small towns, and role in the Black Belt region.
-
B.
Neshoba County
Neshoba County is a rural county in Mississippi known for its historical significance in the civil rights movement and its annual Neshoba County Fair.
-
C.
Lowndes County
Lowndes County is a rural county in central Alabama known for its significant role in the American civil rights movement, particularly during the Selma to Montgomery marches.
-
D.
Dale County
Dale County is a county in southeastern Alabama known for its association with Fort Novosel (formerly Fort Rucker) and its role in the Wiregrass region.
-
E.
Russell County
Russell County is a rural county in north-central Kansas known for its agricultural economy and small-town communities.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5aa828819098ef55a70a0decbc |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdefcc5708190beacccaa978a4abd |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:21 p.m.