Triple
T10217885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harper County |
E242492
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
May, Oklahoma
May, Oklahoma is a small rural town located in northwestern Oklahoma within Harper County.
|
E850771
|
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: May, Oklahoma | Statement: [Harper County, hasSettlement, May, Oklahoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: May, Oklahoma Context triple: [Harper County, hasSettlement, May, Oklahoma]
-
A.
Ada, Oklahoma
Ada, Oklahoma is a small city in south-central Oklahoma that serves as a regional economic and cultural hub and is notably home to the headquarters of the Chickasaw Nation.
-
B.
Moore, Oklahoma
Moore, Oklahoma is a suburban city in the Oklahoma City metropolitan area known for its rapid growth and history of devastating tornadoes.
-
C.
Okarche, Oklahoma
Okarche, Oklahoma is a small town in central Oklahoma known for its German-Catholic heritage and popular fried chicken restaurants.
-
D.
Hope, Oklahoma
Hope, Oklahoma is a small unincorporated community located in Stephens County in southern Oklahoma.
-
E.
Mustang, Oklahoma
Mustang, Oklahoma is a rapidly growing suburban city in the Oklahoma City metropolitan area known for its family-friendly community and annual Western-themed celebrations.
- 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: May, Oklahoma Triple: [Harper County, hasSettlement, May, Oklahoma]
Generated description
May, Oklahoma is a small rural town located in northwestern Oklahoma within Harper County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: May, Oklahoma Target entity description: May, Oklahoma is a small rural town located in northwestern Oklahoma within Harper County.
-
A.
Ada, Oklahoma
Ada, Oklahoma is a small city in south-central Oklahoma that serves as a regional economic and cultural hub and is notably home to the headquarters of the Chickasaw Nation.
-
B.
Moore, Oklahoma
Moore, Oklahoma is a suburban city in the Oklahoma City metropolitan area known for its rapid growth and history of devastating tornadoes.
-
C.
Okarche, Oklahoma
Okarche, Oklahoma is a small town in central Oklahoma known for its German-Catholic heritage and popular fried chicken restaurants.
-
D.
Hope, Oklahoma
Hope, Oklahoma is a small unincorporated community located in Stephens County in southern Oklahoma.
-
E.
Mustang, Oklahoma
Mustang, Oklahoma is a rapidly growing suburban city in the Oklahoma City metropolitan area known for its family-friendly community and annual Western-themed celebrations.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6fcf6c81908a589585bbd48ab8 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a8142f948190b19e3c1f70f6430f |
completed | April 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69d6d0003434819093e3f82a556db79c |
completed | April 8, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6df3c8f748190923db41ef1a9a03a |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 6, 2026, 11:07 a.m.