Triple

T37662733
Position Surface form Disambiguated ID Type / Status
Subject Potion of Fire Resistance E937751 entity
Predicate hasLingeringVariant P189177 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: [Potion of Fire Resistance, hasLingeringVariant, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLingeringVariant
Context triple: [Potion of Fire Resistance, hasLingeringVariant, true]
  • A. hasVariant
    Indicates that one entity exists as an alternative form, version, or variation of another entity.
  • B. hasVariantsIn
    Indicates that an entity exists in multiple alternative forms or versions within a specified context or set.
  • C. hasTemporalVariant
    Indicates that one entity is a version or form of another that exists or applies at a different time or temporal context.
  • D. lingeringVariantEffect chosen
    Indicates that the effects of a particular variant persist over time, continuing to influence the related entity or process beyond the initial event.
  • E. hasMutableVariant
    Indicates that an entity has a related version or form that can be changed or modified (i.e., a mutable counterpart).
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff1a972bf08190860696ffcd887c0f completed May 9, 2026, 11:29 a.m.
PD Predicate disambiguation batch_69ff184005d88190bf38283ebc499b28 completed May 9, 2026, 11:19 a.m.
Created at: May 3, 2026, 4:18 p.m.