Triple
T17295387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keokuk County, Iowa |
E419895
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
What Cheer, Iowa
What Cheer, Iowa is a small historic coal-mining town in southeastern Iowa known for its distinctive name and antique and flea markets.
|
E1261598
|
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: What Cheer, Iowa | Statement: [Keokuk County, Iowa, hasSettlement, What Cheer, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What Cheer, Iowa Context triple: [Keokuk County, Iowa, hasSettlement, What Cheer, Iowa]
-
A.
Chester, Iowa
Chester, Iowa is a small rural community located in Howard County near the Minnesota border.
-
B.
Chelsea, Iowa
Chelsea, Iowa is a small rural city located in Tama County in central Iowa, known for its agricultural surroundings and close-knit community.
-
C.
Charlotte, Iowa
Charlotte, Iowa is a small rural city in eastern Iowa known for its close-knit community and agricultural surroundings.
-
D.
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.
-
E.
West Chester, Iowa
West Chester, Iowa is a small rural city located in southeastern Iowa within Washington County.
- 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: What Cheer, Iowa Triple: [Keokuk County, Iowa, hasSettlement, What Cheer, Iowa]
Generated description
What Cheer, Iowa is a small historic coal-mining town in southeastern Iowa known for its distinctive name and antique and flea markets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: What Cheer, Iowa Target entity description: What Cheer, Iowa is a small historic coal-mining town in southeastern Iowa known for its distinctive name and antique and flea markets.
-
A.
Chester, Iowa
Chester, Iowa is a small rural community located in Howard County near the Minnesota border.
-
B.
Chelsea, Iowa
Chelsea, Iowa is a small rural city located in Tama County in central Iowa, known for its agricultural surroundings and close-knit community.
-
C.
Charlotte, Iowa
Charlotte, Iowa is a small rural city in eastern Iowa known for its close-knit community and agricultural surroundings.
-
D.
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.
-
E.
West Chester, Iowa
West Chester, Iowa is a small rural city located in southeastern Iowa within Washington County.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437875b208190bcf0df2ded546257 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d66bb8819086eb2c72b4dcbafb |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a01848c84cc8190bbcf1a8be82d0f68 |
completed | May 11, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01850519108190972c1ecea6b9313c |
completed | May 11, 2026, 7:28 a.m. |
Created at: April 10, 2026, 5:40 a.m.