Triple

T16009195
Position Surface form Disambiguated ID Type / Status
Subject Sofina E388295 entity
Predicate usesSpellComponent P110513 FINISHED
Object verbal incantations 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: verbal incantations | Statement: [Sofina, usesSpellComponent, verbal incantations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesSpellComponent
Context triple: [Sofina, usesSpellComponent, verbal incantations]
  • A. usedForSpell chosen
    Indicates that something serves as a component, tool, or resource employed in performing or casting a spell.
  • B. underSpellBy
    Indicates that one entity is magically influenced, controlled, or enchanted by another entity.
  • C. usesMagic
    Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
  • D. usesMagicFor
    Indicates that one entity employs or applies magic as a means to achieve, affect, or perform something involving another entity or context.
  • E. inventedSpell
    Indicates that one entity is the creator or originator of a particular spell used or known by another 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e1826a4f7c8190aba6d4f1075141b0 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:55 a.m.