Triple
T2396816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton County, Iowa |
E47669
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Grand Mound, Iowa
Grand Mound, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and close-knit community.
|
E263175
|
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: Grand Mound, Iowa | Statement: [Clinton County, Iowa, contains, Grand Mound, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand Mound, Iowa Context triple: [Clinton County, Iowa, contains, Grand Mound, Iowa]
-
A.
Mount Vernon, Iowa
Mount Vernon, Iowa is a small city in eastern Iowa known for its historic downtown, hilly landscape, and as the home of Cornell College.
-
B.
Montezuma, Iowa
Montezuma, Iowa is a small city in central Iowa known as the administrative and civic hub of Poweshiek County.
-
C.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
-
D.
Mineola, Iowa
Mineola, Iowa is a small unincorporated rural community located in southwestern Iowa.
-
E.
Monticello, Iowa
Monticello, Iowa is a small city in eastern Iowa known for its agricultural community, local festivals, and role as a regional service center.
- 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: Grand Mound, Iowa Triple: [Clinton County, Iowa, contains, Grand Mound, Iowa]
Generated description
Grand Mound, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and close-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grand Mound, Iowa Target entity description: Grand Mound, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and close-knit community.
-
A.
Mount Vernon, Iowa
Mount Vernon, Iowa is a small city in eastern Iowa known for its historic downtown, hilly landscape, and as the home of Cornell College.
-
B.
Montezuma, Iowa
Montezuma, Iowa is a small city in central Iowa known as the administrative and civic hub of Poweshiek County.
-
C.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
-
D.
Mineola, Iowa
Mineola, Iowa is a small unincorporated rural community located in southwestern Iowa.
-
E.
Monticello, Iowa
Monticello, Iowa is a small city in eastern Iowa known for its agricultural community, local festivals, and role as a regional service center.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c4a8bc819086892a75caac0207 |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3de3d548190b3eda939fa5f72b3 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4b83ec48190b2852daef0767ac8 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb57f0e90819093b096955f9cc2b5 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:57 p.m.