Triple
T22561053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa Highway 17 |
E557813
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Garner, Iowa
Garner, Iowa is a small city in north-central Iowa that serves as the county seat of Hancock County and a local hub for agriculture and community events.
|
E1542742
|
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: Garner, Iowa | Statement: [Iowa Highway 17, passesThrough, Garner, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garner, Iowa Context triple: [Iowa Highway 17, passesThrough, Garner, Iowa]
-
A.
Garwin, Iowa
Garwin, Iowa is a small rural city located in central Iowa within the agricultural region of Tama County.
-
B.
Garrison, Iowa
Garrison, Iowa is a small rural city located in Benton County in the eastern part of the state.
-
C.
Grant, Iowa
Grant, Iowa is a small rural city located in Montgomery County in the southwestern part of the state.
-
D.
Harlan, Iowa
Harlan, Iowa is a small city in western Iowa that serves as the county seat of Shelby County and a local hub for the surrounding rural communities.
-
E.
Guttenberg, Iowa
Guttenberg, Iowa is a small historic city along the Mississippi River in northeastern Iowa, known for its well-preserved limestone architecture and scenic riverfront.
- 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: Garner, Iowa Triple: [Iowa Highway 17, passesThrough, Garner, Iowa]
Generated description
Garner, Iowa is a small city in north-central Iowa that serves as the county seat of Hancock County and a local hub for agriculture and community events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garner, Iowa Target entity description: Garner, Iowa is a small city in north-central Iowa that serves as the county seat of Hancock County and a local hub for agriculture and community events.
-
A.
Garwin, Iowa
Garwin, Iowa is a small rural city located in central Iowa within the agricultural region of Tama County.
-
B.
Garrison, Iowa
Garrison, Iowa is a small rural city located in Benton County in the eastern part of the state.
-
C.
Grant, Iowa
Grant, Iowa is a small rural city located in Montgomery County in the southwestern part of the state.
-
D.
Harlan, Iowa
Harlan, Iowa is a small city in western Iowa that serves as the county seat of Shelby County and a local hub for the surrounding rural communities.
-
E.
Guttenberg, Iowa
Guttenberg, Iowa is a small historic city along the Mississippi River in northeastern Iowa, known for its well-preserved limestone architecture and scenic riverfront.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa5f4008190921095b7aff4f4e2 |
completed | April 29, 2026, 1:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d6d8bd88190a0716294f22fd32b |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b364718308190937c3b7ae90ea9df |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37998f888190bb53c2429760321a |
completed | May 18, 2026, 4 p.m. |
Created at: April 16, 2026, 8:52 p.m.