Triple

T10509940
Position Surface form Disambiguated ID Type / Status
Subject Iowa Highway 1 E247885 entity
Predicate connects P390 FINISHED
Object Kalona
Kalona is a small city in southeastern Iowa known for its strong Amish and Mennonite communities and traditional rural culture.
 E868059 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: Kalona | Statement: [Iowa Highway 1, connects, Kalona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kalona
Context triple: [Iowa Highway 1, connects, Kalona]
  • A. Petoskey
    Petoskey is a resort and tourist city on the shores of Lake Michigan in northern Michigan, known for its scenic waterfront and distinctive fossilized coral stones called Petoskey stones.
  • B. Stevens Point
    Stevens Point is a small city in central Wisconsin known for its university, historic downtown, and access to outdoor recreation along the Wisconsin River.
  • C. Kenosha
    Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
  • D. Cloquet
    Cloquet is a small city in northeastern Minnesota known for its paper mill industry and proximity to Duluth.
  • E. Kaukauna, Wisconsin
    Kaukauna, Wisconsin is a small industrial city on the Fox River known historically for its paper mills and hydroelectric power.
  • 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: Kalona
Triple: [Iowa Highway 1, connects, Kalona]
Generated description
Kalona is a small city in southeastern Iowa known for its strong Amish and Mennonite communities and traditional rural culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kalona
Target entity description: Kalona is a small city in southeastern Iowa known for its strong Amish and Mennonite communities and traditional rural culture.
  • A. Petoskey
    Petoskey is a resort and tourist city on the shores of Lake Michigan in northern Michigan, known for its scenic waterfront and distinctive fossilized coral stones called Petoskey stones.
  • B. Stevens Point
    Stevens Point is a small city in central Wisconsin known for its university, historic downtown, and access to outdoor recreation along the Wisconsin River.
  • C. Kenosha
    Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
  • D. Cloquet
    Cloquet is a small city in northeastern Minnesota known for its paper mill industry and proximity to Duluth.
  • E. Kaukauna, Wisconsin
    Kaukauna, Wisconsin is a small industrial city on the Fox River known historically for its paper mills and hydroelectric power.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b359ac8190b3683cc6b9c70a71 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcee1db081908c791867e2438d30 completed April 10, 2026, 11:20 a.m.
NEDg Description generation batch_69d8e8ca94508190a2a6beca7f01fbd8 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d9020bce488190b78e555cdd5caec4 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:27 p.m.