Triple

T37662734
Position Surface form Disambiguated ID Type / Status
Subject Potion of Fire Resistance E937751 entity
Predicate splashVariantEffect P166862 FINISHED
Object applies fire resistance to entities in area of effect 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: applies fire resistance to entities in area of effect | Statement: [Potion of Fire Resistance, splashVariantEffect, applies fire resistance to entities in area of effect]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: splashVariantEffect
Context triple: [Potion of Fire Resistance, splashVariantEffect, applies fire resistance to entities in area of effect]
  • A. spillEffect
    Indicates that one event, action, or condition produces secondary or indirect consequences that extend beyond its immediate scope.
  • B. visualEffect
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • C. splashID
    Indicates that one entity causes a liquid or substance to splash onto or against another entity.
  • D. specialEffectsBy
    Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
  • E. showsEffect chosen
    Indicates that one entity produces, demonstrates, or reveals a particular effect or outcome on another entity or context.
  • 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_69fbb9e8108c8190ae1c7940b1677e95 completed May 6, 2026, 10 p.m.
PD Predicate disambiguation batch_69fbb141605c8190b9c27d70352522db completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:18 p.m.