Triple
T15077245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fayette County, Iowa |
E380036
|
entity |
| Predicate | hasLargestCity |
P235
|
FINISHED |
| Object | Oelwein, Iowa |
E342271
|
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: Oelwein, Iowa | Statement: [Fayette County, Iowa, hasLargestCity, Oelwein, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oelwein, Iowa Context triple: [Fayette County, Iowa, hasLargestCity, Oelwein, Iowa]
-
A.
Oelwein, Iowa
chosen
Oelwein, Iowa is a small city in Fayette County known historically as a regional railroad hub in northeastern Iowa.
-
B.
Wheatland, Iowa
Wheatland, Iowa is a small rural city in eastern Iowa known for its agricultural community and location within Clinton County.
-
C.
Olin, Iowa
Olin, Iowa is a small rural city located in eastern Iowa within Jones 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.
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.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5d2765481908f101bef483ed02f |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:03 a.m.