Triple
T1859077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwestern Oklahoma |
E41772
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ellis County
Ellis County is a rural county in northwestern Oklahoma known for its agricultural economy and small, sparsely populated communities.
|
E364565
|
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: Ellis County | Statement: [Northwestern Oklahoma, contains, Ellis County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellis County Context triple: [Northwestern Oklahoma, contains, Ellis County]
-
A.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
-
B.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
C.
Hastings County
Hastings County is a large, predominantly rural county in eastern Ontario, Canada, known for its forests, lakes, and outdoor recreation opportunities.
-
D.
Callaway County
Callaway County is a county in central Missouri known for its seat in Fulton and its mix of small-town communities, agriculture, and historical sites.
-
E.
Gray County
Gray County is a rural county in the Texas Panhandle best known for its oil industry and county seat, Pampa.
- 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: Ellis County Triple: [Northwestern Oklahoma, contains, Ellis County]
Generated description
Ellis County is a rural county in northwestern Oklahoma known for its agricultural economy and small, sparsely populated communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellis County Target entity description: Ellis County is a rural county in northwestern Oklahoma known for its agricultural economy and small, sparsely populated communities.
-
A.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
-
B.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
C.
Hastings County
Hastings County is a large, predominantly rural county in eastern Ontario, Canada, known for its forests, lakes, and outdoor recreation opportunities.
-
D.
Callaway County
Callaway County is a county in central Missouri known for its seat in Fulton and its mix of small-town communities, agriculture, and historical sites.
-
E.
Gray County
Gray County is a rural county in the Texas Panhandle best known for its oil industry and county seat, Pampa.
- 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_69b37e38ff2881909490b7b20deb149b |
completed | March 13, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69b37f44417481908dc7e04dc112d900 |
completed | March 13, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37fa6b5c08190bb598c77c526df13 |
completed | March 13, 2026, 3:08 a.m. |
Created at: March 4, 2026, 7:33 p.m.