Triple
T2941491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osceola County, Iowa |
E79396
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sibley, Iowa |
E343417
|
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: Sibley, Iowa | Statement: [Osceola County, Iowa, hasCity, Sibley, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sibley, Iowa Context triple: [Osceola County, Iowa, hasCity, Sibley, Iowa]
-
A.
Sibley, Iowa
chosen
Sibley, Iowa is a small city in northwestern Iowa that serves as the administrative and commercial hub of Osceola County.
-
B.
Shelby, Iowa
Shelby, Iowa is a small rural city in western Iowa known for its agricultural community and location along Interstate 80.
-
C.
Hudson, Iowa
Hudson, Iowa is a small city in northeastern Iowa that functions as a suburban community within the Waterloo–Cedar Falls metropolitan area.
-
D.
Lowden, Iowa
Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
-
E.
Mineola, Iowa
Mineola, Iowa is a small unincorporated rural community located in southwestern Iowa.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9870e5d08190b3b277ba823fe6a1 |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a4b98288190b2f4f8360eaecfc6 |
completed | March 12, 2026, 7:55 p.m. |
Created at: March 8, 2026, 2:56 p.m.