Triple

T30596457
Position Surface form Disambiguated ID Type / Status
Subject Hong Kong Sanctum E778800 entity
Predicate hasTypeOfMagic P19914 FINISHED
Object mystic arts 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: mystic arts | Statement: [Hong Kong Sanctum, hasTypeOfMagic, mystic arts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfMagic
Context triple: [Hong Kong Sanctum, hasTypeOfMagic, mystic arts]
  • A. typeOfMagic chosen
    Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
  • B. hasAccessToMagic
    Indicates that one entity is able to use, interact with, or benefit from magical powers, resources, or abilities associated with another entity or source.
  • C. hasMagicItem
    Indicates that an entity possesses or is associated with a magical item.
  • D. hasLimitedMagic
    Indicates that an entity possesses magical abilities that are restricted in scope, power, frequency, or conditions of use.
  • E. usesMagic
    Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
  • 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_69f224a1570c8190a85d3ac330479a79 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe2f078c24819082ba396b56f02808 completed May 8, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69fe228fe1988190baf3bb34897f3dbe completed May 8, 2026, 5:51 p.m.
Created at: April 29, 2026, 8:24 p.m.