Triple

T24476135
Position Surface form Disambiguated ID Type / Status
Subject Litta Madonna E617237 entity
Predicate creatorSchool P108926 FINISHED
Object Leonardo da Vinci workshop NE NERFINISHED

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: Leonardo da Vinci workshop | Statement: [Litta Madonna, creatorSchool, Leonardo da Vinci workshop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: creatorSchool
Context triple: [Litta Madonna, creatorSchool, Leonardo da Vinci workshop]
  • A. schoolOf chosen
    Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
  • B. publicSchool
    Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
  • C. designedBySchool
    Indicates that something was created, planned, or developed by a particular school or educational institution.
  • D. partnerSchool
    Indicates a formal collaborative relationship between two educational institutions, typically involving shared programs, resources, or exchange activities.
  • E. schoolBelongsTo
    Indicates that a particular school is owned by, affiliated with, or under the authority or jurisdiction of a specific organization, institution, or administrative 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_69e2d7f3ae788190b683394db15f220e completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2994820f0819096f04d72ee2f4258 completed April 29, 2026, 11:50 p.m.
PD Predicate disambiguation batch_69f287d76c7c81909494f12e606a9149 completed April 29, 2026, 10:36 p.m.
Created at: April 18, 2026, 2:21 a.m.