Triple
T7668717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clive, Iowa |
E173690
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Waukee, Iowa |
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, Iowa | Statement: [Clive, Iowa, borderedBy, Waukee, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waukee, Iowa Context triple: [Clive, Iowa, borderedBy, Waukee, Iowa]
-
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.
Waukon, Iowa
Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
-
C.
Ankeny, Iowa
Ankeny, Iowa is a rapidly growing suburban city in the Des Moines metropolitan area known for its strong schools, parks, and family-friendly community.
-
D.
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.
-
E.
Riverside, Iowa
Riverside, Iowa is a small city best known as the self-proclaimed future birthplace of Star Trek’s Captain James T. Kirk.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c3ff38819090d65ac4ae218750 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4f716a48190a0ca52caffc2c1c1 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4 p.m.