Triple
T820646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama |
E17742
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object |
Cleburne County
Cleburne County is a rural county in eastern Alabama known for its mountainous terrain and inclusion of part of the Talladega National Forest.
|
E221746
|
NE FINISHED |
How this triple was built (4 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: Cleburne County | Statement: [Alabama, containsCounty, Cleburne County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleburne County Context triple: [Alabama, containsCounty, Cleburne County]
-
A.
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
-
B.
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.
-
C.
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.
-
D.
Russell County
Russell County is a county in eastern Alabama, United States, located along the Chattahoochee River near the Georgia state line.
-
E.
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cleburne County Triple: [Alabama, containsCounty, Cleburne County]
Generated description
Cleburne County is a rural county in eastern Alabama known for its mountainous terrain and inclusion of part of the Talladega National Forest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cleburne County Target entity description: Cleburne County is a rural county in eastern Alabama known for its mountainous terrain and inclusion of part of the Talladega National Forest.
-
A.
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
-
B.
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.
-
C.
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.
-
D.
Russell County
Russell County is a county in eastern Alabama, United States, located along the Chattahoochee River near the Georgia state line.
-
E.
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
- F. None of above. chosen
Provenance (5 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02eda1048190b5452b849315863f |
completed | March 8, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_69ae0386785c8190ae74e5f04a4809fc |
completed | March 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae04253a80819092c112faddec1de1 |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 1, 2026, 7:38 p.m.