Triple

T20896793
Position Surface form Disambiguated ID Type / Status
Subject County of Grande Prairie No. 1 E514558 entity
Predicate hasSettlement P1068 FINISHED
Object Bezanson
Bezanson is a small rural community in northwestern Alberta, Canada, situated east of the city of Grande Prairie.
E1456819 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: Bezanson | Statement: [County of Grande Prairie No. 1, hasSettlement, Bezanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezanson
Context triple: [County of Grande Prairie No. 1, hasSettlement, Bezanson]
  • A. Bez
    Bez is a British dancer and percussionist best known for his energetic onstage presence with the Madchester band Happy Mondays.
  • B. Beynost
    Beynost is a commune in the Ain department of eastern France, situated in the Auvergne-Rhône-Alpes region near Lyon.
  • C. Bessette
    Bessette is a French-origin surname notably associated with Carolyn Bessette-Kennedy, the late wife of John F. Kennedy Jr.
  • D. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • E. Bertozzi
    Bertozzi is the surname of Carolyn R. Bertozzi, a Nobel Prize–winning American chemist known for pioneering the field of bioorthogonal chemistry.
  • 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: Bezanson
Triple: [County of Grande Prairie No. 1, hasSettlement, Bezanson]
Generated description
Bezanson is a small rural community in northwestern Alberta, Canada, situated east of the city of Grande Prairie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bezanson
Target entity description: Bezanson is a small rural community in northwestern Alberta, Canada, situated east of the city of Grande Prairie.
  • A. Bez
    Bez is a British dancer and percussionist best known for his energetic onstage presence with the Madchester band Happy Mondays.
  • B. Beynost
    Beynost is a commune in the Ain department of eastern France, situated in the Auvergne-Rhône-Alpes region near Lyon.
  • C. Bessette
    Bessette is a French-origin surname notably associated with Carolyn Bessette-Kennedy, the late wife of John F. Kennedy Jr.
  • D. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • E. Bertozzi
    Bertozzi is the surname of Carolyn R. Bertozzi, a Nobel Prize–winning American chemist known for pioneering the field of bioorthogonal chemistry.
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d062f26c81908d99d6a9d3b99604 completed April 21, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918cd21dc8190b7c7101d83ebfba5 completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a0919e92f7c8190ab3b9b8cbfa6f7a4 completed May 17, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_6a091a543580819099649ae1d8283606 completed May 17, 2026, 1:31 a.m.
Created at: April 16, 2026, 12:47 p.m.