Triple

T11606709
Position Surface form Disambiguated ID Type / Status
Subject Stanley Park, Calgary E275277 entity
Predicate countrySubdivision P766 FINISHED
Object Province of Alberta E16102 NE 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: Province of Alberta | Statement: [Stanley Park, Calgary, countrySubdivision, Province of Alberta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Province of Alberta
Context triple: [Stanley Park, Calgary, countrySubdivision, Province of Alberta]
  • A. Alberta chosen
    Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
  • B. Saskatchewan
    Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
  • C. Great Plains Province
    The Great Plains Province is a vast, mostly flat to gently rolling region of central North America characterized by grasslands, prairies, and extensive agricultural use.
  • D. Mountain Province
    Mountain Province is a landlocked, mountainous province in the northern Philippines known for its rugged terrain, indigenous cultures, and rice terraces.
  • E. Manitoba
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89551649c81908096ff392677442d completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee871c3dbc8190922d125a04a9ee98 completed April 26, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:38 p.m.