Triple

T316059
Position Surface form Disambiguated ID Type / Status
Subject Nuskhuri E7708 entity
Predicate caseUsage P2529 FINISHED
Object lowercase in ecclesiastical writing 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: lowercase in ecclesiastical writing | Statement: [Nuskhuri, caseUsage, lowercase in ecclesiastical writing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: caseUsage
Context triple: [Nuskhuri, caseUsage, lowercase in ecclesiastical writing]
  • A. letterCase
    Indicates the relationship between a character or string and its typographical case (such as uppercase, lowercase, or mixed case).
  • B. usageType chosen
    Indicates the specific manner, purpose, or context in which something is used or intended to be used.
  • C. hasCase
    Indicates that one entity is involved in, associated with, or characterized by a particular case, instance, or occurrence represented by another entity.
  • D. actualUse
    Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
  • E. majorCase
    Indicates that a legal case is of primary importance or high significance within a given context.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea6462148190825acc57f6d2adaf completed Feb. 28, 2026, 1:15 p.m.
PD Predicate disambiguation batch_69a2e943f12c8190883854aeed974260 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.