Triple

T86856
Position Surface form Disambiguated ID Type / Status
Subject Georgians E1745 entity
Predicate traditionalReligionBeforeChristianity P111 FINISHED
Object Georgian paganism 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: Georgian paganism | Statement: [Georgians, traditionalReligionBeforeChristianity, Georgian paganism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalReligionBeforeChristianity
Context triple: [Georgians, traditionalReligionBeforeChristianity, Georgian paganism]
  • A. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • B. officialReligion
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
  • C. formerReligiousAffiliation chosen
    Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
  • D. influencedReligion
    Indicates that one entity has had a shaping or modifying effect on the religious beliefs, practices, or traditions of another entity.
  • E. religiousAffiliation
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2503d304c8190a0034ffa4a38a501 completed Feb. 28, 2026, 2:17 a.m.
PD Predicate disambiguation batch_69a24eb6da2c8190a33d144d219f7abe completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.