Triple

T19675341
Position Surface form Disambiguated ID Type / Status
Subject Rabati Fortress in Akhaltsikhe E472437 entity
Predicate hasReligiousBuildingsOfType P95507 FINISHED
Object Islamic 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: Islamic | Statement: [Rabati Fortress in Akhaltsikhe, hasReligiousBuildingsOfType, Islamic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousBuildingsOfType
Context triple: [Rabati Fortress in Akhaltsikhe, hasReligiousBuildingsOfType, Islamic]
  • A. hasReligiousBuildingStyle
    Indicates that one entity (typically a building) exhibits or is characterized by the architectural style associated with a particular religion or religious tradition.
  • B. hasReligiousBuildingDensity chosen
    Indicates the degree to which religious buildings are concentrated within a given area or region.
  • C. hasReligiousInstitutionType
    Indicates that an entity is associated with, or classified by, a specific type of religious institution.
  • D. religiousBuildingInstanceOf
    Indicates that a specific religious building is an instance of a particular class or type of religious building.
  • E. associatedReligionBuilding
    Indicates that there is a relationship between a religion and a specific building that is connected to, used by, or significant for that religion.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bb2b7c8190b2badf12ce2caa52 completed April 20, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69e514eb37b8819091502cc954f70eba completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:45 p.m.