Triple
T17056689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clive |
E413838
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Waukee |
E210722
|
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: Waukee | Statement: [Clive, locatedNear, Waukee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waukee Context triple: [Clive, locatedNear, Waukee]
-
A.
Waukee, Iowa
chosen
Waukee, Iowa is a rapidly growing suburban city in the Des Moines metropolitan area known for its strong school system 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.
Owasso
Owasso is a rapidly growing suburban city in northeastern Oklahoma, located just north of Tulsa in the region known as Green Country.
-
D.
Waukon, Iowa
Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
-
E.
Forest City, Iowa
Forest City, Iowa is a small northern Iowa community known as the longtime home of Winnebago Industries and a gateway to nearby lakes and outdoor recreation.
- 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_6a014823d0a8819095491aef9b258971 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:34 a.m.