Triple

T29811917
Position Surface form Disambiguated ID Type / Status
Subject Bunyoro E756987 entity
Predicate restoredAsCulturalInstitution P168786 FINISHED
Object 1993 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: 1993 | Statement: [Bunyoro, restoredAsCulturalInstitution, 1993]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restoredAsCulturalInstitution
Context triple: [Bunyoro, restoredAsCulturalInstitution, 1993]
  • A. isCulturalInstitutionOf
    Indicates that an entity functions as a cultural institution belonging to, serving, or associated with another entity (such as a place, community, or organization).
  • B. hasCulturalInstitutionStatus
    Indicates that an entity holds an official designation or recognition as a cultural institution.
  • C. hostsCulturalInstitution
    Indicates that a place or entity serves as the location or home for a cultural institution, such as a museum, gallery, theater, or similar organization.
  • D. namedAfterCulturalHeritage
    Indicates that one entity has been given its name in honor of, or derived from, the cultural heritage, traditions, or legacy associated with another entity.
  • E. hasCulturalHeritageOn
    Indicates that one entity possesses, preserves, or is associated with the cultural heritage embodied in another entity.
  • F. None of above. chosen

Provenance (4 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_69f2245584848190ad4cab1f07752ccb completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67805551c81909e016ae9e3031076 completed May 2, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69f675ff62c48190a634bbb8896973b9 completed May 2, 2026, 10:09 p.m.
PDg Predicate description generation batch_69f676f73c3481909f01fa69851b7298 completed May 2, 2026, 10:13 p.m.
Created at: April 29, 2026, 5:24 p.m.