Triple
T2396818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton County, Iowa |
E47669
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lost Nation, Iowa
Lost Nation, Iowa is a small rural city in eastern Iowa known for its tight-knit community and agricultural surroundings.
|
E52453
|
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: Lost Nation, Iowa | Statement: [Clinton County, Iowa, contains, Lost Nation, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost Nation, Iowa Context triple: [Clinton County, Iowa, contains, Lost Nation, Iowa]
-
A.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
-
B.
Montezuma, Iowa
Montezuma, Iowa is a small city in central Iowa known as the administrative and civic hub of Poweshiek County.
-
C.
Stone City, Iowa
Stone City, Iowa is a 1930 landscape painting by American artist Grant Wood depicting the limestone quarries and rolling hills of the small Iowa town of the same name.
-
D.
Lowden, Iowa
Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
-
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: Lost Nation, Iowa Triple: [Clinton County, Iowa, contains, Lost Nation, Iowa]
Generated description
Lost Nation, Iowa is a small rural city in eastern Iowa known for its tight-knit community and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lost Nation, Iowa Target entity description: Lost Nation, Iowa is a small rural city in eastern Iowa known for its tight-knit community and agricultural surroundings.
-
A.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
-
B.
Montezuma, Iowa
Montezuma, Iowa is a small city in central Iowa known as the administrative and civic hub of Poweshiek County.
-
C.
Stone City, Iowa
Stone City, Iowa is a 1930 landscape painting by American artist Grant Wood depicting the limestone quarries and rolling hills of the small Iowa town of the same name.
-
D.
Lowden, Iowa
chosen
Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
-
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.
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.