Triple

T609066
Position Surface form Disambiguated ID Type / Status
Subject Second Council of Nicaea E12056 entity
Predicate distinguishedBetween P6335 FINISHED
Object veneration (proskynesis) and adoration (latria) 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: veneration (proskynesis) and adoration (latria) | Statement: [Second Council of Nicaea, distinguishedBetween, veneration (proskynesis) and adoration (latria)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distinguishedBetween
Context triple: [Second Council of Nicaea, distinguishedBetween, veneration (proskynesis) and adoration (latria)]
  • A. distinction
    Indicates that one entity is recognized, treated, or classified as different or separate from another.
  • B. isDistinguishedBy
    Indicates that one entity is characterized or set apart from others by a particular feature, quality, or attribute.
  • C. differentiatedFrom chosen
    Indicates that one entity is distinguished or set apart from another by identifying differences between them.
  • D. uniformDistinction
    Indicates that a clear and consistent difference is maintained between two or more entities within a given context.
  • E. distinguishingNotation
    Indicates that one entity uses a specific notation or symbol to distinguish or differentiate another entity from similar ones.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df54eec8190af3f5f04c01d5d2a completed March 1, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69a49cfa7b4481909bec7a5fd3e98c65 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.