Triple

T1654954
Position Surface form Disambiguated ID Type / Status
Subject Millard County E35776 entity
Predicate contains P35 FINISHED
Object Kanosh
Kanosh is a small town in central Utah known for its rural setting and historical ties to the early Mormon settlement of Millard County.
E187010 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: Kanosh | Statement: [Millard County, contains, Kanosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanosh
Context triple: [Millard County, contains, Kanosh]
  • A. Moab
    Moab is an ancient kingdom located east of the Dead Sea, frequently mentioned in the Hebrew Bible as a neighboring land to Israel.
  • B. Kingsburg
    Kingsburg is a small, historically Swedish-themed city in California’s San Joaquin Valley known for its agricultural community and distinctive Scandinavian character.
  • C. Autun
    Autun is a historic town in eastern France renowned for its well-preserved Roman ruins and medieval cathedral.
  • D. Creswell
    Creswell is a village in Derbyshire, England, known for its historic Creswell Crags limestone gorge and prehistoric cave art.
  • E. Crescentville
    Crescentville is a residential neighborhood in the Northeast section of Philadelphia, Pennsylvania, known for its rowhomes and urban community character.
  • 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: Kanosh
Triple: [Millard County, contains, Kanosh]
Generated description
Kanosh is a small town in central Utah known for its rural setting and historical ties to the early Mormon settlement of Millard County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kanosh
Target entity description: Kanosh is a small town in central Utah known for its rural setting and historical ties to the early Mormon settlement of Millard County.
  • A. Moab
    Moab is an ancient kingdom located east of the Dead Sea, frequently mentioned in the Hebrew Bible as a neighboring land to Israel.
  • B. Kingsburg
    Kingsburg is a small, historically Swedish-themed city in California’s San Joaquin Valley known for its agricultural community and distinctive Scandinavian character.
  • C. Autun
    Autun is a historic town in eastern France renowned for its well-preserved Roman ruins and medieval cathedral.
  • D. Creswell
    Creswell is a village in Derbyshire, England, known for its historic Creswell Crags limestone gorge and prehistoric cave art.
  • E. Crescentville
    Crescentville is a residential neighborhood in the Northeast section of Philadelphia, Pennsylvania, known for its rowhomes and urban community character.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8b597c81908a62b41718d85df6 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ad3bb48190a096ff7813748168 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad61ff65b881909009c230780a146e completed March 8, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad62ec3a80819085fef1c378b9abdc completed March 8, 2026, 11:52 a.m.
Created at: March 4, 2026, 7:29 p.m.