Triple
T22017366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa Highway 4 |
E543746
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Estherville |
—
|
NE NERFINISHED |
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: Estherville | Statement: [Iowa Highway 4, passesThrough, Estherville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estherville Context triple: [Iowa Highway 4, passesThrough, Estherville]
-
A.
Estherville, Iowa
chosen
Estherville, Iowa is a small city in Emmet County known for its rural Midwestern character and proximity to the Iowa Great Lakes region.
-
B.
Marshalltown
Marshalltown is an inner-city commercial and business district located within Johannesburg’s central business area in South Africa.
-
C.
Marshalltown
Marshalltown is a city in central Iowa that serves as a regional hub for industry, commerce, and transportation.
-
D.
Webster City
Webster City is a small community in central Iowa known as the county seat of Hamilton County and for its agricultural and manufacturing-based local economy.
-
E.
Corydon, Iowa
Corydon, Iowa is a small rural city that serves as the county seat of Wayne County in southern Iowa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c4e0088190a5241d1b87d746da |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.