Triple

T2559412
Position Surface form Disambiguated ID Type / Status
Subject Ateni Sioni Church E57206 entity
Predicate writingSystemUsedInInscriptions P454 FINISHED
Object early Georgian Asomtavruli script 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: early Georgian Asomtavruli script | Statement: [Ateni Sioni Church, writingSystemUsedInInscriptions, early Georgian Asomtavruli script]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingSystemUsedInInscriptions
Context triple: [Ateni Sioni Church, writingSystemUsedInInscriptions, early Georgian Asomtavruli script]
  • A. writingSystemUsedIn
    Indicates that a particular writing system is employed for written communication within a given language, region, or context.
  • B. writingSystem chosen
    Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
  • C. writingSystemDevelopedFrom
    Indicates that one writing system originated, evolved, or was derived from another earlier writing system.
  • D. writingSystemHistorically
    Indicates that one writing system was historically used for, associated with, or served as a predecessor to another writing system.
  • E. inscriptionsLanguage
    Indicates that the language used in the inscriptions on an object or surface is the specified language.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35c6ee88190b6eaa1841d3e99a4 completed March 7, 2026, 7:27 a.m.
PD Predicate disambiguation batch_69abd0caeb488190b0dd8e48d0f2777d completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.