Triple
T2793370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Country |
E61978
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bartlesville |
E63640
|
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: Bartlesville | Statement: [Green Country, contains, Bartlesville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bartlesville Context triple: [Green Country, contains, Bartlesville]
-
A.
Bartlesville
chosen
Bartlesville is a small city in northeastern Oklahoma known for its oil industry heritage and distinctive architecture, including Frank Lloyd Wright’s Price Tower.
-
B.
Lawton
Lawton is a mid-sized city in southwestern Oklahoma known as a regional economic and cultural center near Fort Sill and the Wichita Mountains.
-
C.
McAlester
McAlester is a regional hub city in southeastern Oklahoma known for its role as a commercial center and for housing the Oklahoma State Penitentiary.
-
D.
Wewoka, Oklahoma
Wewoka, Oklahoma is a small city in central Oklahoma that serves as the historic headquarters and cultural center of the Seminole Nation.
-
E.
Tulsa
Tulsa is a major city in northeastern Oklahoma known for its historic oil industry, distinctive Art Deco architecture, and vibrant arts and cultural scene.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd33610819085ac7c5bec0e6af0 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc65ebe788190859012e930918b05 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.