Triple
T16052111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar, Iowa |
E389377
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object |
Mahaska County
Mahaska County is a county in southeastern Iowa known for its agricultural landscape and county seat, Oskaloosa.
|
E1242727
|
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: Mahaska County | Statement: [Cedar, Iowa, county, Mahaska County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahaska County Context triple: [Cedar, Iowa, county, Mahaska County]
-
A.
Iowa County
Iowa County is a county in eastern Iowa known for its rural landscapes, small towns, and historic communities such as the Amana Colonies.
-
B.
Keith County
Keith County is a rural county in western Nebraska known for Lake McConaughy, outdoor recreation, and its location along major highways and the Platte River.
-
C.
La Crosse County
La Crosse County is a county in western Wisconsin known for the city of La Crosse, its Mississippi River bluffs, and a mix of urban, agricultural, and natural landscapes.
-
D.
Wright County
Wright County is a county in central Minnesota known for its mix of growing suburban communities and rural landscapes west of the Minneapolis–Saint Paul metropolitan area.
-
E.
Winnebago County
Winnebago County is a county in northern Illinois whose largest city and county seat is Rockford.
- 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: Mahaska County Triple: [Cedar, Iowa, county, Mahaska County]
Generated description
Mahaska County is a county in southeastern Iowa known for its agricultural landscape and county seat, Oskaloosa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mahaska County Target entity description: Mahaska County is a county in southeastern Iowa known for its agricultural landscape and county seat, Oskaloosa.
-
A.
Iowa County
Iowa County is a county in eastern Iowa known for its rural landscapes, small towns, and historic communities such as the Amana Colonies.
-
B.
Keith County
Keith County is a rural county in western Nebraska known for Lake McConaughy, outdoor recreation, and its location along major highways and the Platte River.
-
C.
La Crosse County
La Crosse County is a county in western Wisconsin known for the city of La Crosse, its Mississippi River bluffs, and a mix of urban, agricultural, and natural landscapes.
-
D.
Wright County
Wright County is a county in central Minnesota known for its mix of growing suburban communities and rural landscapes west of the Minneapolis–Saint Paul metropolitan area.
-
E.
Winnebago County
Winnebago County is a county in northern Illinois whose largest city and county seat is Rockford.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183627bd88190bf94054de13a7733 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d447f5cc81908757869f2d1e94a1 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d55f665c8190bd9a4bf594d0bac4 |
completed | May 10, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d5c38a1081909e13c016f21899d2 |
completed | May 10, 2026, 7 p.m. |
Created at: April 10, 2026, 4:56 a.m.