Triple

T4635721
Position Surface form Disambiguated ID Type / Status
Subject Holy Trinity Cathedral of Tbilisi E101524 entity
Predicate hasTheologicalAcademy P51096 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: [Holy Trinity Cathedral of Tbilisi, hasTheologicalAcademy, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTheologicalAcademy
Context triple: [Holy Trinity Cathedral of Tbilisi, hasTheologicalAcademy, yes]
  • A. theologicalAssociation
    Indicates a relationship in which entities are connected through shared, contrasting, or otherwise related theological beliefs, doctrines, institutions, or traditions.
  • B. seminaryName
    Indicates the name assigned to a seminary institution.
  • C. hasMajorEducationalInstitutions chosen
    Indicates that the subject possesses or hosts significant higher-level educational organizations or facilities, such as universities or major colleges.
  • D. hasLegalEducationInstitution
    Indicates that an entity is associated with or linked to an institution that provides legal education.
  • E. isEducationalCenterOf
    Indicates that an institution functions as the primary educational center serving, representing, or associated with a particular area, organization, or group.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a60a66c8190b76f3d3a7da1df55 completed March 20, 2026, 2:32 p.m.
PD Predicate disambiguation batch_69bd5233cb5081908807e2b150f0ca06 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:13 p.m.