Triple
T11723279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guthrie County, Iowa |
E278692
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Yale, Iowa
Yale, Iowa is a small rural city in central Iowa known for its agricultural surroundings and tight-knit community.
|
E942926
|
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: Yale, Iowa | Statement: [Guthrie County, Iowa, contains, Yale, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yale, Iowa Context triple: [Guthrie County, Iowa, contains, Yale, Iowa]
-
A.
Iowa City, Iowa
Iowa City, Iowa is a mid-sized Midwestern city best known as the home of the University of Iowa and a UNESCO City of Literature.
-
B.
University Park, Iowa
University Park, Iowa is a small incorporated community located in Mahaska County in the southeastern part of the state.
-
C.
Yale, Michigan
Yale, Michigan is a small city in eastern Michigan known for its rural character and location within St. Clair County.
-
D.
Cedar Falls, Iowa
Cedar Falls, Iowa is a city in northeastern Iowa known for being home to the University of Northern Iowa and a regional center for education and culture.
-
E.
Grinnell, Iowa
Grinnell, Iowa is a small city in central Iowa best known as the home of Grinnell College, a highly regarded liberal arts institution.
- 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: Yale, Iowa Triple: [Guthrie County, Iowa, contains, Yale, Iowa]
Generated description
Yale, Iowa is a small rural city in central Iowa known for its agricultural surroundings and tight-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yale, Iowa Target entity description: Yale, Iowa is a small rural city in central Iowa known for its agricultural surroundings and tight-knit community.
-
A.
Iowa City, Iowa
Iowa City, Iowa is a mid-sized Midwestern city best known as the home of the University of Iowa and a UNESCO City of Literature.
-
B.
University Park, Iowa
University Park, Iowa is a small incorporated community located in Mahaska County in the southeastern part of the state.
-
C.
Yale, Michigan
Yale, Michigan is a small city in eastern Michigan known for its rural character and location within St. Clair County.
-
D.
Cedar Falls, Iowa
Cedar Falls, Iowa is a city in northeastern Iowa known for being home to the University of Northern Iowa and a regional center for education and culture.
-
E.
Grinnell, Iowa
Grinnell, Iowa is a small city in central Iowa best known as the home of Grinnell College, a highly regarded liberal arts institution.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d603cc8190b2e68d0bdd793362 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83c8ac2c8190b3bba7db42734f3a |
completed | April 27, 2026, 3:42 p.m. |
| NEDg | Description generation | batch_69ef96b13be881908102ffa867f96c22 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efb51113708190998b570c33b9d0e7 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 8, 2026, 9:41 p.m.