Triple
T3010658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | northwestern Iowa |
E82208
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Cherokee, Iowa
Cherokee, Iowa is a small city in the northwestern part of the state known for its historic downtown and role as a local agricultural and cultural center.
|
E317606
|
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: Cherokee, Iowa | Statement: [northwestern Iowa, contains, Cherokee, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherokee, Iowa Context triple: [northwestern Iowa, contains, Cherokee, Iowa]
-
A.
Charlotte, Iowa
Charlotte, Iowa is a small rural city in eastern Iowa known for its close-knit community and agricultural surroundings.
-
B.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
-
C.
Chester, Iowa
Chester, Iowa is a small rural community located in Howard County near the Minnesota border.
-
D.
Montezuma, Iowa
Montezuma, Iowa is a small city in central Iowa known as the administrative and civic hub of Poweshiek County.
-
E.
Lowden, Iowa
Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
- 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: Cherokee, Iowa Triple: [northwestern Iowa, contains, Cherokee, Iowa]
Generated description
Cherokee, Iowa is a small city in the northwestern part of the state known for its historic downtown and role as a local agricultural and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cherokee, Iowa Target entity description: Cherokee, Iowa is a small city in the northwestern part of the state known for its historic downtown and role as a local agricultural and cultural center.
-
A.
Charlotte, Iowa
Charlotte, Iowa is a small rural city in eastern Iowa known for its close-knit community and agricultural surroundings.
-
B.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
-
C.
Chester, Iowa
Chester, Iowa is a small rural community located in Howard County near the Minnesota border.
-
D.
Montezuma, Iowa
Montezuma, Iowa is a small city in central Iowa known as the administrative and civic hub of Poweshiek County.
-
E.
Lowden, Iowa
Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4e2c8c8190a8fed3604780826b |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6410e481909753bef34e053363 |
completed | March 11, 2026, 8:57 a.m. |
| NEDg | Description generation | batch_69b12f324fdc8190a279a773ef32ed01 |
completed | March 11, 2026, 9 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1c641f3308190912252e5d5e4f843 |
completed | March 11, 2026, 7:45 p.m. |
Created at: March 8, 2026, 3 p.m.