Triple
T14088365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union County, Iowa |
E339056
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Afton, Iowa |
E664947
|
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: Afton, Iowa | Statement: [Union County, Iowa, hasSettlement, Afton, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afton, Iowa Context triple: [Union County, Iowa, hasSettlement, Afton, Iowa]
-
A.
Afton, Iowa
chosen
Afton, Iowa is a small rural city in Union County known as the birthplace of longtime White House chief usher and author J. B. West.
-
B.
Ackworth, Iowa
Ackworth, Iowa is a small rural city located in Warren County in the south-central part of the state.
-
C.
Afton, Minnesota
Afton, Minnesota is a small city along the St. Croix River known for its scenic rural character, outdoor recreation, and proximity to the Afton Alps ski area.
-
D.
Ainsworth, Iowa
Ainsworth, Iowa is a small rural city in southeastern Iowa known for its close-knit community and agricultural surroundings.
-
E.
Havelock, Iowa
Havelock, Iowa is a small rural city in Pocahontas County in northwestern Iowa.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a5c9948190805c2e687c8809ff |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.