Triple
T7424545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian County |
E171335
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Kingfisher County
Kingfisher County is a rural county in central Oklahoma known for its agricultural economy and small-town communities.
|
E688449
|
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: Kingfisher County | Statement: [Canadian County, borderedBy, Kingfisher County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingfisher County Context triple: [Canadian County, borderedBy, Kingfisher County]
-
A.
Limestone County
Limestone County is a county in northern Alabama known for its mix of agricultural communities, growing suburban areas, and proximity to the Huntsville metropolitan region.
-
B.
Waller County
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
-
C.
Ballard County
Ballard County is a rural county in far western Kentucky, located within the Jackson Purchase region along the Mississippi River.
-
D.
Cochran County
Cochran County is a sparsely populated rural county in far west Texas known for its agriculture and location along the New Mexico border.
-
E.
Smith County
Smith County is a rural county in central Mississippi known for its small communities, agriculture, and pine forests.
- 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: Kingfisher County Triple: [Canadian County, borderedBy, Kingfisher County]
Generated description
Kingfisher County is a rural county in central Oklahoma known for its agricultural economy and small-town communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kingfisher County Target entity description: Kingfisher County is a rural county in central Oklahoma known for its agricultural economy and small-town communities.
-
A.
Limestone County
Limestone County is a county in northern Alabama known for its mix of agricultural communities, growing suburban areas, and proximity to the Huntsville metropolitan region.
-
B.
Waller County
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
-
C.
Ballard County
Ballard County is a rural county in far western Kentucky, located within the Jackson Purchase region along the Mississippi River.
-
D.
Cochran County
Cochran County is a sparsely populated rural county in far west Texas known for its agriculture and location along the New Mexico border.
-
E.
Smith County
Smith County is a rural county in central Mississippi known for its small communities, agriculture, and pine forests.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f302b33481908eae877970f2bbdf |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d68a7e908190831b9f7f84ef19bd |
completed | March 29, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_69c8daa512c881909a657ed147969224 |
completed | March 29, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8daf11044819084f60c82e4d746f2 |
completed | March 29, 2026, 7:55 a.m. |
Created at: March 27, 2026, 3:12 p.m.