Triple
T14495456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubuque County, Iowa |
E359483
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Worthington, Iowa
Worthington, Iowa is a small rural city in eastern Iowa known for its close-knit community and agricultural surroundings.
|
E1107874
|
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: Worthington, Iowa | Statement: [Dubuque County, Iowa, hasTown, Worthington, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worthington, Iowa Context triple: [Dubuque County, Iowa, hasTown, Worthington, Iowa]
-
A.
Waukon, Iowa
Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
-
B.
Wheatland, Iowa
Wheatland, Iowa is a small rural city in eastern Iowa known for its agricultural community and location within Clinton County.
-
C.
Williamson, Iowa
Williamson, Iowa is a small unincorporated rural community located in Lucas County in the south-central part of the state.
-
D.
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.
-
E.
Waverly, Iowa
Waverly, Iowa is a small city in northeastern Iowa known as the county seat of Bremer County and home to Wartburg College.
- 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: Worthington, Iowa Triple: [Dubuque County, Iowa, hasTown, Worthington, Iowa]
Generated description
Worthington, Iowa is a small rural city in eastern Iowa known for its close-knit community and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Worthington, Iowa Target entity description: Worthington, Iowa is a small rural city in eastern Iowa known for its close-knit community and agricultural surroundings.
-
A.
Waukon, Iowa
Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
-
B.
Wheatland, Iowa
Wheatland, Iowa is a small rural city in eastern Iowa known for its agricultural community and location within Clinton County.
-
C.
Williamson, Iowa
Williamson, Iowa is a small unincorporated rural community located in Lucas County in the south-central part of the state.
-
D.
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.
-
E.
Waverly, Iowa
Waverly, Iowa is a small city in northeastern Iowa known as the county seat of Bremer County and home to Wartburg College.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a7187c81909f173c2fb70509f5 |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fd96860ba48190af21941197a97c97 |
completed | May 8, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd974aa0688190916c8d79a68809ee |
completed | May 8, 2026, 7:56 a.m. |
Created at: April 10, 2026, 1:21 a.m.