Triple

T9680292
Position Surface form Disambiguated ID Type / Status
Subject Southern Alberta E234261 entity
Predicate hasCity P316 FINISHED
Object Raymond
Raymond is a small town in southern Alberta, Canada, known for its agricultural roots and strong community traditions.
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: [Southern Alberta, hasCity, Raymond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond
Context triple: [Southern Alberta, hasCity, Raymond]
  • A. 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.
  • B. Raymond
    Raymond is the middle name of U.S. Senator Joseph McCarthy, the prominent figure behind the anti-communist "McCarthyism" movement in the 1950s.
  • C. Raymond
    Raymond is the given name of Ray Tomlinson, the American computer programmer widely credited with inventing networked email and introducing the use of the "@" symbol in email addresses.
  • D. Raymond
    Raymond is the given first name of Teller, the silent half of the famous magician duo Penn & Teller.
  • E. Raymond
    Raymond is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
  • 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: [Southern Alberta, hasCity, Raymond]
Generated description
Raymond is a small town in southern Alberta, Canada, known for its agricultural roots and strong community traditions.
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 roots and strong community traditions.
  • A. Raymond chosen
    Raymond is a small town in southern Alberta, Canada, known for its agricultural community and early Latter-day Saint settlement history.
  • B. Raymond
    Raymond is an unincorporated community located in Coweta County, Georgia, United States.
  • 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 surname most notably associated with Eric S. Raymond, an American software developer, open-source advocate, and author of "The Cathedral and the Bazaar."
  • E. 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.
  • F. None of above.

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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9dcbe881908ae926a5b5eae759 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a395a508190a185d08f3719ee09 completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18b28b8c88190ba658f7c3f5e438c completed April 4, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_69d18bb5d1908190a34dec67fd98a226 completed April 4, 2026, 10:07 p.m.
Created at: March 30, 2026, 8:16 p.m.