Triple
T3300774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spavinaw, Oklahoma |
E69325
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object |
Mayes County
Mayes County is a county in northeastern Oklahoma known for its mix of small towns, agricultural areas, and recreational lakes.
|
E417957
|
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: Mayes County | Statement: [Spavinaw, Oklahoma, county, Mayes County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayes County Context triple: [Spavinaw, Oklahoma, county, Mayes County]
-
A.
Fisher County
Fisher County is a rural county in west-central Texas known for its agricultural economy and small, sparsely populated communities.
-
B.
Yoakum County
Yoakum County is a rural county in western Texas known for its agriculture and oil production.
-
C.
Harding County
Harding County is a sparsely populated rural county in northeastern New Mexico known for its ranching landscape and wide-open high plains.
-
D.
Terry County
Terry County is a rural county in western Texas known for its agriculture, particularly cotton farming, and its location on the South Plains region.
-
E.
Mills County
Mills County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
- 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: Mayes County Triple: [Spavinaw, Oklahoma, county, Mayes County]
Generated description
Mayes County is a county in northeastern Oklahoma known for its mix of small towns, agricultural areas, and recreational lakes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mayes County Target entity description: Mayes County is a county in northeastern Oklahoma known for its mix of small towns, agricultural areas, and recreational lakes.
-
A.
Fisher County
Fisher County is a rural county in west-central Texas known for its agricultural economy and small, sparsely populated communities.
-
B.
Yoakum County
Yoakum County is a rural county in western Texas known for its agriculture and oil production.
-
C.
Harding County
Harding County is a sparsely populated rural county in northeastern New Mexico known for its ranching landscape and wide-open high plains.
-
D.
Terry County
Terry County is a rural county in western Texas known for its agriculture, particularly cotton farming, and its location on the South Plains region.
-
E.
Mills County
Mills County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a7d224819080d9a638e08bb8a8 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f070d6081909bc6ae1ce127c3d7 |
completed | March 14, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_69b582f9c858819094de05e240c98594 |
completed | March 14, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5836543848190abbf31c04804358d |
completed | March 14, 2026, 3:48 p.m. |
Created at: March 8, 2026, 3:11 p.m.