Triple
T8504581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulsa County |
E201301
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Owasso |
E299221
|
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: Owasso | Statement: [Tulsa County, contains, Owasso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owasso Context triple: [Tulsa County, contains, Owasso]
-
A.
Owasso
chosen
Owasso is a rapidly growing suburban city in northeastern Oklahoma, located just north of Tulsa in the region known as Green Country.
-
B.
Iowa Falls
Iowa Falls is a small city in central Iowa known for its scenic location along the Iowa River and historic downtown.
-
C.
Luverne
Luverne is a small city in southern Alabama that serves as the administrative and commercial hub of Crenshaw County.
-
D.
Waukon, Iowa
Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
-
E.
McClelland, Iowa
McClelland, Iowa is a small rural community located in Pottawattamie County in the western part of the state.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59d67d081908155a43b9b463fe3 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d257a748190b33873ee0d252d2e |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:14 p.m.