Triple

T26085280
Position Surface form Disambiguated ID Type / Status
Subject Royal Library of Turin E657959 entity
Predicate hasConservationLaboratory P96449 FINISHED
Object yes 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: yes | Statement: [Royal Library of Turin, hasConservationLaboratory, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConservationLaboratory
Context triple: [Royal Library of Turin, hasConservationLaboratory, yes]
  • A. hasLaboratorySpace
    Indicates that an entity provides or contains designated laboratory facilities or areas for scientific or technical work.
  • B. hasConservationCentre
    Indicates that an entity maintains or is associated with a conservation centre dedicated to protecting natural or cultural resources.
  • C. usedAsLaboratoryFor
    Indicates that one entity functions as a laboratory or experimental facility for another entity’s activities, research, or testing.
  • D. hasConservationFacilities chosen
    Indicates that an entity possesses or is equipped with facilities dedicated to conservation, preservation, or protection activities.
  • E. hasKeyLaboratory
    Indicates that an entity possesses or is associated with a designated key laboratory, typically as an important research or development facility under its responsibility.
  • 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_69ee5bbf0d208190801ee95d4f07fb16 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69fd389cb28c819099a77e28d25f258a completed May 8, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69fd3826d8048190ada79a5868d1d7f3 completed May 8, 2026, 1:11 a.m.
Created at: April 26, 2026, 7:42 p.m.