Triple

T17633875
Position Surface form Disambiguated ID Type / Status
Subject Benedictine monastery of San Sisto E430042 entity
Predicate associatedArtworkType P3050 FINISHED
Object altarpiece 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: altarpiece | Statement: [Benedictine monastery of San Sisto, associatedArtworkType, altarpiece]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedArtworkType
Context triple: [Benedictine monastery of San Sisto, associatedArtworkType, altarpiece]
  • A. associatedWithWorkOfArt
    Indicates a relationship in which an entity is connected or related to a specific work of art, such as through creation, contribution, ownership, or contextual association.
  • B. associatedWithArtForm
    Indicates a relationship where an entity is connected or linked to a particular art form, such as by practice, creation, representation, or influence.
  • C. artworkType chosen
    Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
  • D. artifactType
    Indicates the specific kind or category of artifact that an entity is classified as.
  • E. hasArtworksFrom
    Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46ddea4688190a76a4225f268c0ac completed April 19, 2026, 5:53 a.m.
PD Predicate disambiguation batch_69e3cddc87188190ac2f049b86038676 completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 5:52 a.m.