Triple
T2285840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Valley region |
E51388
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Waverly, Iowa
Waverly, Iowa is a small city in northeastern Iowa known as the county seat of Bremer County and home to Wartburg College.
|
E296451
|
NE FINISHED |
How this triple was built (4 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: Waverly, Iowa | Statement: [Cedar Valley region, hasCity, Waverly, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waverly, Iowa Context triple: [Cedar Valley region, hasCity, Waverly, Iowa]
-
A.
Riverside, Iowa
Riverside, Iowa is a small city best known as the self-proclaimed future birthplace of Star Trek’s Captain James T. Kirk.
-
B.
Waterloo, Iowa
Waterloo, Iowa is a mid-sized city in northeastern Iowa known as an industrial and commercial hub of the Cedar Valley region along the Cedar River.
-
C.
Williamsburg, Iowa
Williamsburg, Iowa is a small city in eastern Iowa known for its rural community character and proximity to the Tanger Outlet Center shopping area.
-
D.
Wiota, Iowa
Wiota, Iowa is a small rural city located in Cass County in the southwestern part of the state.
-
E.
Waubeek, Iowa
Waubeek, Iowa is a small unincorporated community and rural locality in eastern Iowa known for its historic mill and proximity to the Wapsipinicon River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Waverly, Iowa Triple: [Cedar Valley region, hasCity, Waverly, Iowa]
Generated description
Waverly, Iowa is a small city in northeastern Iowa known as the county seat of Bremer County and home to Wartburg College.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waverly, Iowa Target entity description: Waverly, Iowa is a small city in northeastern Iowa known as the county seat of Bremer County and home to Wartburg College.
-
A.
Riverside, Iowa
Riverside, Iowa is a small city best known as the self-proclaimed future birthplace of Star Trek’s Captain James T. Kirk.
-
B.
Waterloo, Iowa
Waterloo, Iowa is a mid-sized city in northeastern Iowa known as an industrial and commercial hub of the Cedar Valley region along the Cedar River.
-
C.
Williamsburg, Iowa
Williamsburg, Iowa is a small city in eastern Iowa known for its rural community character and proximity to the Tanger Outlet Center shopping area.
-
D.
Wiota, Iowa
Wiota, Iowa is a small rural city located in Cass County in the southwestern part of the state.
-
E.
Waubeek, Iowa
Waubeek, Iowa is a small unincorporated community and rural locality in eastern Iowa known for its historic mill and proximity to the Wapsipinicon River.
- F. None of above. chosen
Provenance (5 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc24730208190af8a5cf443d334f7 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc01a30608190839f9e11db0f7def |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc0b6368081908e2520ac6680a409 |
completed | March 10, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc145e61881908c0eeae455b02a78 |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 4, 2026, 7:48 p.m.