Triple

T21830538
Position Surface form Disambiguated ID Type / Status
Subject Waushara County E538981 entity
Predicate containsSettlement P847 FINISHED
Object Warren
Warren is a small unincorporated community located within Waushara County in the U.S. state of Wisconsin.
 E1503300 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: Warren | Statement: [Waushara County, containsSettlement, Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warren
Context triple: [Waushara County, containsSettlement, Warren]
  • A. Warren
    Warren is a mid-sized industrial city in northeastern Ohio known historically for its role in the steel and automotive industries.
  • B. Warren
    Warren "Baby" Dodds was an influential early jazz drummer known for his pioneering work in New Orleans and Chicago jazz.
  • C. Warren
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • D. Warren
    Warren is a small city in northern Pennsylvania known for its historic downtown and location along the Allegheny River.
  • E. Warren
    Warren is a central character in Robert Frost's narrative poem "The Death of the Hired Man," depicted as a New England farmer whose conflicted sense of duty and forgiveness shapes the story's moral tension.
  • 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: Warren
Triple: [Waushara County, containsSettlement, Warren]
Generated description
Warren is a small unincorporated community located within Waushara County in the U.S. state of Wisconsin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warren
Target entity description: Warren is a small unincorporated community located within Waushara County in the U.S. state of Wisconsin.
  • A. Warren
    Warren is a small community that forms part of the municipality of Markstay-Warren in Ontario, Canada.
  • B. Warren
    Warren is a rural town in the Orana region of New South Wales, Australia, known for its agriculture and proximity to the Macquarie River.
  • C. Warren
    Warren is a small city in northern Pennsylvania known for its historic downtown and location along the Allegheny River.
  • D. Warren
    Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
  • E. Warren
    Warren is a historic residential neighborhood in Bisbee, Arizona, known for its early 20th-century planned layout and distinctive architecture.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0913554508190b81347f01d3903e8 completed April 28, 2026, 10:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45e8f6b48190852c512a878585be completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a4682eca08190916e211b0e9e3861 completed May 17, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_6a0a474e900c81909c5167c63509ae0a completed May 17, 2026, 10:55 p.m.
Created at: April 16, 2026, 6:54 p.m.