Triple

T762578
Position Surface form Disambiguated ID Type / Status
Subject Alberta E16102 entity
Predicate hasCity P316 FINISHED
Object Fort McMurray
Fort McMurray is a northern Alberta community best known as the center of Canada’s oil sands industry and a hub for energy-related development.
E105066 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: Fort McMurray | Statement: [Alberta, hasCity, Fort McMurray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort McMurray
Context triple: [Alberta, hasCity, Fort McMurray]
  • A. Red Deer
    Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
  • B. Medicine Hat
    Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
  • C. Edmonton
    Edmonton is the capital city of the Canadian province of Alberta, known for its major role in the energy sector and its extensive river valley park system.
  • D. Edmonton
    Edmonton is a historic suburban area in the London Borough of Enfield, formerly part of the county of Middlesex in England.
  • E. Lethbridge
    Lethbridge is a mid-sized city in southern Alberta, Canada, known for its coulee landscapes, windy climate, and role as a regional commercial and educational hub.
  • 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: Fort McMurray
Triple: [Alberta, hasCity, Fort McMurray]
Generated description
Fort McMurray is a northern Alberta community best known as the center of Canada’s oil sands industry and a hub for energy-related development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fort McMurray
Target entity description: Fort McMurray is a northern Alberta community best known as the center of Canada’s oil sands industry and a hub for energy-related development.
  • A. Red Deer
    Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
  • B. Medicine Hat
    Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
  • C. Edmonton
    Edmonton is the capital city of the Canadian province of Alberta, known for its major role in the energy sector and its extensive river valley park system.
  • D. Edmonton
    Edmonton is a historic suburban area in the London Borough of Enfield, formerly part of the county of Middlesex in England.
  • E. Lethbridge
    Lethbridge is a mid-sized city in southern Alberta, Canada, known for its coulee landscapes, windy climate, and role as a regional commercial and educational hub.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6841f388190a6d08c3bf5c17fe4 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c009d5048190b2a137b6ed8b60ec completed March 4, 2026, 5:15 a.m.
NEDg Description generation batch_69a7c0716e708190b907502b17b671f8 completed March 4, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69a7c0d166ac819089b683e7cee92043 completed March 4, 2026, 5:19 a.m.
Created at: March 1, 2026, 7:37 p.m.