Triple

T519376
Position Surface form Disambiguated ID Type / Status
Subject Paschal Divine Liturgy E10778 entity
Predicate hasVestmentColor P15356 FINISHED
Object white 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: white | Statement: [Paschal Divine Liturgy, hasVestmentColor, white]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVestmentColor
Context triple: [Paschal Divine Liturgy, hasVestmentColor, white]
  • A. hasColorOption
    Indicates that an entity offers or supports a particular color as one of its selectable options.
  • B. hasBottleColor
    Indicates that an entity is associated with a bottle characterized by a specific color.
  • C. colorCharge
    Indicates a relationship where an entity possesses a specific quantum color charge (such as red, green, or blue) in the context of strong nuclear interactions.
  • D. hasCrossColor
    Indicates that an entity possesses a cross-shaped marking or pattern of a specified color.
  • E. hasRouteColorStandard
    Indicates that a route is associated with a standardized color designation used for identification or classification.
  • F. None of above. chosen

Provenance (4 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1a00a6c8190a62dc7c901c2f2ff completed Feb. 28, 2026, 1:46 p.m.
PD Predicate disambiguation batch_69a2f016ba5c81909825b04e7525b4ab completed Feb. 28, 2026, 1:39 p.m.
PDg Predicate description generation batch_69a2f1137e948190838303cdaa757a5a completed Feb. 28, 2026, 1:43 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.