Triple

T2506229
Position Surface form Disambiguated ID Type / Status
Subject Prince William of Gloucester E52586 entity
Predicate sportHobby P17882 FINISHED
Object flying 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: flying | Statement: [Prince William of Gloucester, sportHobby, flying]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sportHobby
Context triple: [Prince William of Gloucester, sportHobby, flying]
  • A. sportsAndRecreation
    Indicates a relationship where an entity is associated with, involved in, or designated for sports or recreational activities.
  • B. sportsInvolvement chosen
    Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
  • C. sportCategory
    Indicates that one entity is classified as a type or category of sport to which the other entity (typically a specific sport or sporting event) belongs.
  • D. traditionalSport
    Indicates that an entity is a sport practiced within a culture or community that has been passed down over generations and is recognized as part of traditional or heritage activities.
  • E. sportFocus
    Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd65d6a988190aaaac8e98540a14f completed March 7, 2026, 7:40 a.m.
PD Predicate disambiguation batch_69abd0bd996c8190ba8b9d6e4333b8d4 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.