Triple
T11324672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monona County, Iowa |
E268178
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object |
Onawa, Iowa
Onawa, Iowa is a small city in western Iowa known for its historic downtown and proximity to the Missouri River.
|
E919216
|
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: Onawa, Iowa | Statement: [Monona County, Iowa, countySeat, Onawa, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onawa, Iowa Context triple: [Monona County, Iowa, countySeat, Onawa, Iowa]
-
A.
Osceola, Iowa
Osceola, Iowa is a small city in south-central Iowa that serves as the county seat of Clarke County and a regional hub for transportation and local commerce.
-
B.
Onslow, Iowa
Onslow, Iowa is a small rural city located in Jones County in eastern Iowa, known for its close-knit community and agricultural surroundings.
-
C.
Waukon, Iowa
Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
-
D.
Neola, Iowa
Neola, Iowa is a small rural city in western Iowa known for its agricultural community and location within Pottawattamie County.
-
E.
Ocheyedan, Iowa
Ocheyedan, Iowa is a small rural city in northwestern Iowa known for its agricultural surroundings and proximity to the Ocheyedan Mound, one of the state's notable natural landmarks.
- 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: Onawa, Iowa Triple: [Monona County, Iowa, countySeat, Onawa, Iowa]
Generated description
Onawa, Iowa is a small city in western Iowa known for its historic downtown and proximity to the Missouri River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onawa, Iowa Target entity description: Onawa, Iowa is a small city in western Iowa known for its historic downtown and proximity to the Missouri River.
-
A.
Osceola, Iowa
Osceola, Iowa is a small city in south-central Iowa that serves as the county seat of Clarke County and a regional hub for transportation and local commerce.
-
B.
Onslow, Iowa
Onslow, Iowa is a small rural city located in Jones County in eastern Iowa, known for its close-knit community and agricultural surroundings.
-
C.
Waukon, Iowa
Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
-
D.
Neola, Iowa
Neola, Iowa is a small rural city in western Iowa known for its agricultural community and location within Pottawattamie County.
-
E.
Ocheyedan, Iowa
Ocheyedan, Iowa is a small rural city in northwestern Iowa known for its agricultural surroundings and proximity to the Ocheyedan Mound, one of the state's notable natural landmarks.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525fb8d74819089d1505d1f0f116c |
completed | April 19, 2026, 6:59 p.m. |
| NEDg | Description generation | batch_69e52c82b6108190aec9b6e9d726f803 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531c2a4b88190bb1efd57536bae9a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.