Triple

T31840623
Position Surface form Disambiguated ID Type / Status
Subject Ram in a Thicket E812790 entity
Predicate restorationInstitution P92533 FINISHED
Object British Museum 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: British Museum | Statement: [Ram in a Thicket, restorationInstitution, British Museum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restorationInstitution
Context triple: [Ram in a Thicket, restorationInstitution, British Museum]
  • A. restorationOrganisation chosen
    Indicates that an organisation is responsible for or involved in carrying out a restoration activity or project on the related entity.
  • B. restoredAsCulturalInstitution
    Indicates that something has been brought back into use or condition specifically to function as a cultural institution (such as a museum, gallery, or cultural center).
  • C. restorationProject
    Indicates a project whose purpose is to repair, renew, or return something to a previous or improved condition.
  • D. revitalizationInstitution
    Indicates that an institution is responsible for or involved in the revitalization or renewal of something, such as a place, system, or community.
  • E. restorationEvent
    Indicates an event in which something previously altered, damaged, or degraded is returned to a former or improved state.
  • 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_69f348ea7ffc8190a2ab43d80277cf59 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aff9c1008190a02f0a8ff0728d0d completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca59d4881908d14ed47962703bd completed May 3, 2026, 2:02 a.m.
Created at: April 30, 2026, 11:49 p.m.