Triple

T6913955
Position Surface form Disambiguated ID Type / Status
Subject Memorial Cup E160001 entity
Predicate hasHostCityRotation P13981 FINISHED
Object true 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: true | Statement: [Memorial Cup, hasHostCityRotation, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHostCityRotation
Context triple: [Memorial Cup, hasHostCityRotation, true]
  • A. rotatingHostCity chosen
    Indicates that the role of host city changes periodically among different cities according to a rotation schedule.
  • B. hasHostCity
    Indicates that a particular event, organization, or activity is located in or officially hosted by a specific city.
  • C. hasHostCityStatus
    Indicates that a city holds the official designation or role of hosting a particular event, organization, or function.
  • D. hostCityPreviouslyHosted
    Indicates that the city currently hosting an event has also hosted that same event in one or more previous editions.
  • E. hasCoHostCity
    Indicates that an event is jointly hosted or organized by the specified city alongside one or more other cities.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9dbca6c819091d8b65e54ada5d9 completed March 27, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69c6d7b93d688190a297244ce81b67ac completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:25 p.m.