Triple

T7785112
Position Surface form Disambiguated ID Type / Status
Subject Cardston County E187221 entity
Predicate containsSettlement P847 FINISHED
Object Raymond
Raymond is a small town in southern Alberta, Canada, known for its agricultural community and early Latter-day Saint settlement history.
 E692697 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: Raymond | Statement: [Cardston County, containsSettlement, Raymond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raymond
Context triple: [Cardston County, containsSettlement, Raymond]
  • A. Raymond
    Raymond is the given first name of Teller, the silent half of the famous magician duo Penn & Teller.
  • B. Raymond
    Raymond is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
  • C. Raymond
    Raymond is an unincorporated community located in Coweta County, Georgia, United States.
  • D. Raymond
    Raymond is the furry blue sea-dog mascot of Major League Baseball’s Tampa Bay Rays, known for his playful antics at the team’s home games.
  • E. Raymond
    Raymond is the middle name of U.S. Senator Joseph McCarthy, the prominent figure behind the anti-communist "McCarthyism" movement in the 1950s.
  • 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: Raymond
Triple: [Cardston County, containsSettlement, Raymond]
Generated description
Raymond is a small town in southern Alberta, Canada, known for its agricultural community and early Latter-day Saint settlement history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raymond
Target entity description: Raymond is a small town in southern Alberta, Canada, known for its agricultural community and early Latter-day Saint settlement history.
  • A. Raymond
    Raymond is an unincorporated community located in Coweta County, Georgia, United States.
  • B. Raymond
    Raymond is a surname most notably associated with Eric S. Raymond, an American software developer, open-source advocate, and author of "The Cathedral and the Bazaar."
  • C. Raymond
    Raymond is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
  • D. Raymond
    Raymond is a central character in the Gothic novel "The Monk," known for his romantic entanglements and morally complex actions that drive much of the plot.
  • E. Raymond
    Raymond is the given first name of Teller, the silent half of the famous magician duo Penn & Teller.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf22d9b4819081b877c751204a22 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf604715081909eed614cbadb8db6 completed March 30, 2026, 10:15 p.m.
NEDg Description generation batch_69caf81ff934819094f8089b0bd8dde7 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa512e748190a52fe462d3d59f06 completed March 30, 2026, 10:33 p.m.
Created at: March 30, 2026, 4:23 p.m.