Triple

T24708955
Position Surface form Disambiguated ID Type / Status
Subject Baths of Neptune E611974 entity
Predicate hasMosaicColorScheme P29272 FINISHED
Object black and 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: black and white | Statement: [Baths of Neptune, hasMosaicColorScheme, black and white]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMosaicColorScheme
Context triple: [Baths of Neptune, hasMosaicColorScheme, black and white]
  • A. hasMosaic
    Indicates that one entity possesses, contains, or is decorated with a mosaic.
  • B. hasColourScheme chosen
    Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
  • C. hasMosaicsBy
    Indicates that something contains or features mosaics that were created by a specified agent or creator.
  • D. hasMosaicSubject
    Indicates that something is the depicted subject or main theme represented within a mosaic.
  • E. hasColorModel
    Indicates that an entity uses or is associated with a particular color representation model (such as RGB, CMYK, or HSV) for defining its colors.
  • 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_69e2c4d9c24c8190a3712d74327f0c6e completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f453035f508190be83a3d521723acf completed May 1, 2026, 7:15 a.m.
PD Predicate disambiguation batch_69f44d6ef33081908f5d36ba1ae5f473 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 3:24 a.m.