Triple
T1561566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Iowa |
E33334
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Mount Ayr, Iowa
Mount Ayr, Iowa is a small rural city that serves as the county seat of Ringgold County in southwestern Iowa.
|
E221517
|
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: Mount Ayr, Iowa | Statement: [Southwestern Iowa, containsSettlement, Mount Ayr, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Ayr, Iowa Context triple: [Southwestern Iowa, containsSettlement, Mount Ayr, Iowa]
-
A.
Adair, Iowa
Adair, Iowa is a small city in southwestern Iowa known for its historic railroad roots and rural Midwestern character.
-
B.
Rock Rapids, Iowa
Rock Rapids, Iowa is a small city in northwestern Iowa known as the administrative and commercial hub of Lyon County.
-
C.
Waterloo, Iowa
Waterloo, Iowa is a mid-sized city in northeastern Iowa known as an industrial and commercial hub of the Cedar Valley region along the Cedar River.
-
D.
Little Rock, Iowa
Little Rock, Iowa is a small rural city in northwestern Iowa known for its close-knit community and agricultural surroundings.
-
E.
Massena, Iowa
Massena, Iowa is a small rural city located in Cass County in southwestern Iowa, known for its agricultural surroundings and close-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: Mount Ayr, Iowa Triple: [Southwestern Iowa, containsSettlement, Mount Ayr, Iowa]
Generated description
Mount Ayr, Iowa is a small rural city that serves as the county seat of Ringgold County in southwestern Iowa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Ayr, Iowa Target entity description: Mount Ayr, Iowa is a small rural city that serves as the county seat of Ringgold County in southwestern Iowa.
-
A.
Adair, Iowa
Adair, Iowa is a small city in southwestern Iowa known for its historic railroad roots and rural Midwestern character.
-
B.
Rock Rapids, Iowa
Rock Rapids, Iowa is a small city in northwestern Iowa known as the administrative and commercial hub of Lyon County.
-
C.
Waterloo, Iowa
Waterloo, Iowa is a mid-sized city in northeastern Iowa known as an industrial and commercial hub of the Cedar Valley region along the Cedar River.
-
D.
Little Rock, Iowa
Little Rock, Iowa is a small rural city in northwestern Iowa known for its close-knit community and agricultural surroundings.
-
E.
Massena, Iowa
Massena, Iowa is a small rural city located in Cass County in southwestern Iowa, known for its agricultural surroundings and close-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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9088710a881909a1226e4b54311b8 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02fafaac81908da419946e5a279d |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae039a7c948190b8b4b4c2045007d3 |
completed | March 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae04253a80819092c112faddec1de1 |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:27 p.m.