Triple

T32048057
Position Surface form Disambiguated ID Type / Status
Subject Kaminarimon E818404 entity
Predicate hasProtectionSymbolism P34702 FINISHED
Object warding off evil 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: warding off evil | Statement: [Kaminarimon, hasProtectionSymbolism, warding off evil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProtectionSymbolism
Context triple: [Kaminarimon, hasProtectionSymbolism, warding off evil]
  • A. hasSacredSymbol
    Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
  • B. emblemSymbolism chosen
    Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
  • C. hasProtectionPurpose
    Indicates that something is intended or designed to serve a protective function or goal.
  • D. believedToProtect
    Indicates that one entity is thought or assumed to provide protection or defense for another entity.
  • E. protectiveEmblemName
    Indicates that a given name is the designated title or label of a protective emblem associated with an 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_69f348fcfb648190859f6be5e04b7cfe completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a00a602b6b48190a9dea8ae22d2fa05 completed May 10, 2026, 3:36 p.m.
PD Predicate disambiguation batch_6a00a559bf3881909a7b50776d8f47bb completed May 10, 2026, 3:33 p.m.
Created at: May 1, 2026, 12:20 a.m.