Triple
T17056688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clive |
E413838
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Urbandale |
E186036
|
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: Urbandale | Statement: [Clive, locatedNear, Urbandale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urbandale Context triple: [Clive, locatedNear, Urbandale]
-
A.
Urbandale, Iowa
chosen
Urbandale, Iowa is a suburban city in the Des Moines metropolitan area known for its residential neighborhoods, parks, and family-friendly community.
-
B.
Cedar Falls
Cedar Falls is a scenic waterfall and popular natural attraction located within Hocking Hills State Park in Hocking County, Ohio.
-
C.
Cedar Rapids
Cedar Rapids is a 2011 American comedy film starring Ed Helms as a naive insurance agent navigating unexpected misadventures at a regional conference in Iowa.
-
D.
Marshalltown
Marshalltown is an inner-city commercial and business district located within Johannesburg’s central business area in South Africa.
-
E.
Marshalltown
Marshalltown is a city in central Iowa that serves as a regional hub for industry, commerce, and transportation.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7a96288190bd985f79c3f55623 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01413eba788190982351a97286e81f |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 5:34 a.m.