Triple
T4146276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monroe County, Iowa |
E89789
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object | Blakesburg, Iowa |
E414815
|
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: Blakesburg, Iowa | Statement: [Monroe County, Iowa, hasJurisdictionOver, Blakesburg, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blakesburg, Iowa Context triple: [Monroe County, Iowa, hasJurisdictionOver, Blakesburg, Iowa]
-
A.
Blakesburg, Iowa
chosen
Blakesburg, Iowa is a small rural town in southern Iowa known for its close-knit community and agricultural surroundings.
-
B.
Williamsburg, Iowa
Williamsburg, Iowa is a small city in eastern Iowa known for its rural community character and proximity to the Tanger Outlet Center shopping area.
-
C.
Bassett, Iowa
Bassett, Iowa is a small rural community located in Chickasaw County in northeastern Iowa.
-
D.
Prairieburg, Iowa
Prairieburg, Iowa is a small rural city located in eastern Iowa within Linn County.
-
E.
Sibley, Iowa
Sibley, Iowa is a small city in northwestern Iowa that serves as the administrative and commercial hub of Osceola County.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af025fef088190b42515d0a854a1ae |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3136c48190b158142311bfbc6d |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.