Triple

T662285
Position Surface form Disambiguated ID Type / Status
Subject 1992 NHL All-Star Game E11780 entity
Predicate primaryLanguageBroadcastCanada P3314 FINISHED
Object English 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: English | Statement: [1992 NHL All-Star Game, primaryLanguageBroadcastCanada, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageBroadcastCanada
Context triple: [1992 NHL All-Star Game, primaryLanguageBroadcastCanada, English]
  • A. languageOfPrimaryBroadcasts chosen
    Indicates the language in which an entity’s primary broadcasts are delivered.
  • B. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • C. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • D. majorityLanguageOf
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • E. oneOfSixOfficialLanguagesOf
    Indicates that a language is one of the six officially recognized languages of a particular organization, institution, or entity.
  • F. None of above.

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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd081e8819097f289961f5eff29 completed March 1, 2026, 8:21 p.m.
PD Predicate disambiguation batch_69a49d153a948190b3ccdc331ed33617 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.