Triple

T24787751
Position Surface form Disambiguated ID Type / Status
Subject cross potent E620163 entity
Predicate isDepictedInTinctures P157127 FINISHED
Object colour tinctures 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: colour tinctures | Statement: [cross potent, isDepictedInTinctures, colour tinctures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isDepictedInTinctures
Context triple: [cross potent, isDepictedInTinctures, colour tinctures]
  • A. isDepictedInTinctures chosen
    Indicates that an entity is represented using specific heraldic colors or tinctures in a depiction.
  • B. colorTincture
    Indicates that one entity has a specific heraldic color or tincture applied to it.
  • C. tinctureOfInscription
    Indicates a relationship where an inscription is embodied, preserved, or represented in the form of a tincture or liquid medium.
  • D. tinctureOfPale
    Indicates that one entity is a tincture (medicinal or alcoholic extract) derived from or characterized by the pale aspect, quality, or component of another entity.
  • E. tinctureRed
    Indicates that an entity has a red-colored tincture (heraldic coloring) applied to it.
  • 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_69e2fabdbe8c8190adbb9434b8636cad completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42d9000b8819081ea2605f3c193d6 completed May 1, 2026, 4:35 a.m.
PD Predicate disambiguation batch_69f420f471a0819095a6cd24ed8f7476 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 4:46 a.m.