Triple
T10522232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulsa metropolitan area |
E248202
|
entity |
| Predicate | includesCounty |
P5971
|
FINISHED |
| Object | Osage County |
E739318
|
NE FINISHED |
How this triple was built (2 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: Osage County | Statement: [Tulsa metropolitan area, includesCounty, Osage County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osage County Context triple: [Tulsa metropolitan area, includesCounty, Osage County]
-
A.
Osage County
chosen
Osage County is a largely rural county in northeastern Oklahoma known for its expansive prairies, oil history, and significant Osage Nation presence.
-
B.
Taney County
Taney County is a county in southwestern Missouri known for encompassing the popular tourist destination city of Branson.
-
C.
Cedar County
Cedar County is a county in eastern Iowa known for its agricultural landscape and small rural communities, including the town of Clarence.
-
D.
Cedar County
Cedar County is a county in southwestern Missouri known for its rural communities, agricultural landscape, and small-town character.
-
E.
Geary County
Geary County is a county in northeastern Kansas known for its mix of military presence at Fort Riley, the city of Junction City, and its location within the tallgrass prairie region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509e0907481908807dd99980cba1f |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacad75b8819090657ab4335cebbc |
completed | April 12, 2026, 2:31 p.m. |
Created at: April 6, 2026, 12:29 p.m.