Triple
T1859075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwestern Oklahoma |
E41772
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alfalfa County
Alfalfa County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
|
E282847
|
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: Alfalfa County | Statement: [Northwestern Oklahoma, contains, Alfalfa County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfalfa County Context triple: [Northwestern Oklahoma, contains, Alfalfa County]
-
A.
Harper County
Harper County is a sparsely populated rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
-
B.
Jeff Davis County
Jeff Davis County is a rural county in southeastern Georgia known for its small-town communities and agricultural landscape.
-
C.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
D.
Long County
Long County is a rural county in southeastern Georgia known for its small population, pine forests, and location within the Hinesville–Fort Stewart metropolitan area.
-
E.
Cardston County
Cardston County is a municipal district in southern Alberta, Canada, known for its rural communities, agriculture, and proximity to the Canada–United States border.
- 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: Alfalfa County Triple: [Northwestern Oklahoma, contains, Alfalfa County]
Generated description
Alfalfa County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfalfa County Target entity description: Alfalfa County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
-
A.
Harper County
Harper County is a sparsely populated rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
-
B.
Jeff Davis County
Jeff Davis County is a rural county in southeastern Georgia known for its small-town communities and agricultural landscape.
-
C.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
D.
Long County
Long County is a rural county in southeastern Georgia known for its small population, pine forests, and location within the Hinesville–Fort Stewart metropolitan area.
-
E.
Cardston County
Cardston County is a municipal district in southern Alberta, Canada, known for its rural communities, agriculture, and proximity to the Canada–United States border.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0829f1481908d2b389d20827417 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af9040c20c8190aaae6f22fc893032 |
completed | March 10, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69af90c873148190804ea5ca9f8c8179 |
completed | March 10, 2026, 3:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af912593ac8190a2f068724f66bef3 |
completed | March 10, 2026, 3:33 a.m. |
Created at: March 4, 2026, 7:33 p.m.