Triple
T6663058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Johanns |
E151522
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Osage, Iowa, United States |
E332833
|
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: Osage, Iowa, United States | Statement: [Mike Johanns, placeOfBirth, Osage, Iowa, United States]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osage, Iowa, United States Context triple: [Mike Johanns, placeOfBirth, Osage, Iowa, United States]
-
A.
Osage, Iowa
chosen
Osage, Iowa is a small city in northern Iowa known as the administrative and commercial hub of Mitchell County.
-
B.
Anamosa, Iowa, United States
Anamosa is a small city in eastern Iowa best known as the birthplace of American Regionalist painter Grant Wood.
-
C.
Ossian, Iowa
Ossian, Iowa is a small rural city located in northeastern Iowa within Winneshiek County.
-
D.
Ocheyedan, Iowa
Ocheyedan, Iowa is a small rural city in northwestern Iowa known for its agricultural surroundings and proximity to the Ocheyedan Mound, one of the state's notable natural landmarks.
-
E.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b09a6fa88190ba8e454b9ad421a0 |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0c1fc081909e37296958a04572 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.