Triple
T5668879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dothan |
E124923
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Dale County |
E187060
|
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: Dale County | Statement: [Dothan, county, Dale County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dale County Context triple: [Dothan, county, Dale County]
-
A.
Dale County
chosen
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.
-
B.
LaRue County
LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
-
C.
Chilton County
Chilton County is a central Alabama county best known for its extensive peach orchards and agricultural production.
-
D.
Russell County
Russell County is a county in eastern Alabama, United States, located along the Chattahoochee River near the Georgia state line.
-
E.
Russell County
Russell County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0234891d48190bf662f38ef84d4f3 |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097dbdbc081909dd228c61461c5c8 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:43 p.m.