Triple
T16156502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogers County |
E392056
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Inola |
E879818
|
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: Inola | Statement: [Rogers County, hasTown, Inola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inola Context triple: [Rogers County, hasTown, Inola]
-
A.
Inola, Oklahoma
chosen
Inola, Oklahoma is a small town in northeastern Oklahoma known for its rural character and proximity to the Tulsa metropolitan area.
-
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.
Lawton
Lawton is a residential neighborhood in Havana, Cuba, known for its traditional urban character within the Diez de Octubre municipality.
-
D.
Lawton
Lawton is a masculine given name most notably associated with American politician and former Florida governor Lawton Chiles.
-
E.
Chickasha
Chickasha is a small city in Grady County, Oklahoma, known historically as a regional agricultural and railroad hub and now home to the University of Science and Arts of Oklahoma.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5aa57c8190a9d89dd57e30318f |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007833960819088334e10258a9d72 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:01 a.m.