Triple

T35026576
Position Surface form Disambiguated ID Type / Status
Subject Calgary–Medicine Hat E1010353 entity
Predicate connectsRoleOfCalgary P200170 FINISHED
Object largest city in Alberta LITERAL FINISHED

How this triple was built (2 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: largest city in Alberta | Statement: [Calgary–Medicine Hat, connectsRoleOfCalgary, largest city in Alberta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsRoleOfCalgary
Context triple: [Calgary–Medicine Hat, connectsRoleOfCalgary, largest city in Alberta]
  • A. connectsRole
    Indicates a relationship in which one entity is linked to another by assigning or associating a specific role between them.
  • B. roleInCanada
    Indicates that one entity holds or performs a specific role, position, or function within the context of Canada.
  • C. operatorRoleInCanada
    Indicates that an entity serves in an operator role within the context of Canada (e.g., operating or managing activities, services, or facilities in Canada).
  • D. roleOnYorkePeninsula
    Indicates that an entity holds or has held a specific role, position, or function associated with the Yorke Peninsula region.
  • E. isInDirectionFromCalgary
    Indicates that one location lies in a specified compass or geographic direction when measured outward starting from Calgary.
  • F. None of above. chosen

Provenance (4 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_69f76dccf0108190af43b465d3750196 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff795d25d08190b7584c72be39d309 completed May 9, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69ff78a90fbc8190a62c57456dc1d4ad completed May 9, 2026, 6:10 p.m.
PDg Predicate description generation batch_69ff795c702c8190b00844407f2882af completed May 9, 2026, 6:13 p.m.
Created at: May 3, 2026, 4:01 p.m.