Triple

T15552093
Position Surface form Disambiguated ID Type / Status
Subject Principality of Trubchevsk E370772 entity
Predicate hasReligionCharacteristic P33575 FINISHED
Object Christianization under Eastern Orthodoxy 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: Christianization under Eastern Orthodoxy | Statement: [Principality of Trubchevsk, hasReligionCharacteristic, Christianization under Eastern Orthodoxy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligionCharacteristic
Context triple: [Principality of Trubchevsk, hasReligionCharacteristic, Christianization under Eastern Orthodoxy]
  • A. hasReligiousCharacter
    Indicates that an entity possesses a religious nature, function, or affiliation, or is characterized by religious aspects or significance.
  • B. religiousCharacteristic chosen
    Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious context.
  • C. hasReligiousType
    Indicates that an entity is associated with or classified under a particular religion or religious category.
  • D. hasAssociatedReligion
    Indicates that an entity is connected with or linked to a particular religion.
  • E. recognizesReligion
    Indicates that one entity formally acknowledges or accepts another entity as a valid or legitimate 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69deda7e6e748190b29ccce23298afef completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:08 a.m.