Triple

T531061
Position Surface form Disambiguated ID Type / Status
Subject Master Mason E12221 entity
Predicate ritualIncludes P4193 FINISHED
Object grips and words specific to the third degree 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: grips and words specific to the third degree | Statement: [Master Mason, ritualIncludes, grips and words specific to the third degree]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ritualIncludes
Context triple: [Master Mason, ritualIncludes, grips and words specific to the third degree]
  • A. hasRitual chosen
    Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
  • B. hasRitualObject
    Indicates that an entity possesses, uses, or is associated with an object specifically employed in a ritual or ceremonial context.
  • C. hasLifecycleRitual
    Indicates that an entity is associated with a ritual or ceremonial practice marking a significant stage or transition in its lifecycle.
  • D. ceremonialUse
    Indicates that something is used in a ritual, religious, or formal ceremony rather than for ordinary or practical purposes.
  • E. notableRite
    Indicates that an entity is associated with a significant or distinguished ritual, ceremony, or formal rite.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69a494b257108190a537dffbb9d621b5 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.