Triple
T11723716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelby County, Iowa |
E278703
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Irwin, Iowa |
E172670
|
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: Irwin, Iowa | Statement: [Shelby County, Iowa, hasSettlement, Irwin, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irwin, Iowa Context triple: [Shelby County, Iowa, hasSettlement, Irwin, Iowa]
-
A.
Irwin, Iowa
chosen
Irwin, Iowa is a small rural city located in western Iowa that is part of Shelby County.
-
B.
Williamson, Iowa
Williamson, Iowa is a small unincorporated rural community located in Lucas County in the south-central part of the state.
-
C.
Havelock, Iowa
Havelock, Iowa is a small rural city in Pocahontas County in northwestern Iowa.
-
D.
Waverly, Iowa
Waverly, Iowa is a small city in northeastern Iowa known as the county seat of Bremer County and home to Wartburg College.
-
E.
Lowden, Iowa
Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d603cc8190b2e68d0bdd793362 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16679c0ec81909fe80d75dd582db1 |
completed | April 29, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:41 p.m.