Triple
T11723715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelby County, Iowa |
E278703
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Westphalia, Iowa |
E157806
|
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: Westphalia, Iowa | Statement: [Shelby County, Iowa, hasSettlement, Westphalia, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westphalia, Iowa Context triple: [Shelby County, Iowa, hasSettlement, Westphalia, Iowa]
-
A.
Westphalia, Iowa
chosen
Westphalia, Iowa is a small rural city in western Iowa known for its strong German-Catholic heritage and close-knit community.
-
B.
Wheatland, Iowa
Wheatland, Iowa is a small rural city in eastern Iowa known for its agricultural community and location within Clinton County.
-
C.
Washington, Iowa
Washington, Iowa is a small city in southeastern Iowa known for its historic downtown, agricultural surroundings, and role as a local commercial and cultural hub.
-
D.
Waterloo, Iowa
Waterloo, Iowa is a mid-sized city in northeastern Iowa known as an industrial and commercial hub of the Cedar Valley region along the Cedar River.
-
E.
Royal, Iowa
Royal, Iowa is a small rural city located in Clay County in northwestern Iowa, United States.
- 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_69ef83d9fe70819089b9f3585188f96c |
completed | April 27, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:41 p.m.