Triple

T3856394
Position Surface form Disambiguated ID Type / Status
Subject Premier of Alberta E90025 entity
Predicate styleOfAddress P536 FINISHED
Object Premier E383543 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: Premier | Statement: [Premier of Alberta, styleOfAddress, Premier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Premier
Context triple: [Premier of Alberta, styleOfAddress, Premier]
  • A. Premier
    The Premier is the head of Taiwan’s Executive Yuan, serving as the chief executive of the central government and overseeing national administration.
  • B. Premier chosen
    The Premier is the head of government in a Canadian province or territory, responsible for leading the executive branch and setting governmental policy.
  • C. Premier
    The Premier is the head of government and chief executive authority of the Australian state of South Australia.
  • D. La Première
    La Première is a Swiss French-language public radio station operated by Radio Télévision Suisse, offering news, culture, and talk programming.
  • E. La Première
    La Première is Air France’s ultra-luxury first-class cabin, known for its exclusive suites, refined service, and premium amenities on select long-haul routes.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec07d45081909b8f3e35eb710f4c completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041f40f88190883339db0950026a completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.