Triple

T2518961
Position Surface form Disambiguated ID Type / Status
Subject Sinhala script E55476 entity
Predicate hasModernVariant P24871 FINISHED
Object modern Sinhala 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: modern Sinhala script | Statement: [Sinhala script, hasModernVariant, modern Sinhala script]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasModernVariant
Context triple: [Sinhala script, hasModernVariant, modern Sinhala script]
  • A. hasModernEditions
    Indicates that an original work or text has one or more updated or contemporary published editions.
  • B. hasVariant
    Indicates that one entity exists as an alternative form, version, or variation of another entity.
  • C. hasModernSuccessor
    Indicates that an entity is followed or replaced by another entity that serves as its modern equivalent or continuation.
  • D. hasModernFormulationIn
    Indicates that something has a contemporary or updated version expressed or formulated within a specified context, framework, or medium.
  • E. hasVariantSystem chosen
    Indicates that one system is an alternative or variant form of another system within the same general framework or category.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0bf37c0819088d28b5081ba7556 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.