Triple

T8861041
Position Surface form Disambiguated ID Type / Status
Subject Dvin E210886 entity
Predicate otherHistoricalLanguagesSpoken P29176 FINISHED
Object Greek 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: Greek | Statement: [Dvin, otherHistoricalLanguagesSpoken, Greek]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: otherHistoricalLanguagesSpoken
Context triple: [Dvin, otherHistoricalLanguagesSpoken, Greek]
  • A. historicallySpokenIn
    Indicates that a language was used for spoken communication in a particular place or region during a past historical period.
  • B. languageOfHistoricalRecord
    Indicates the language in which a given historical record is written or recorded.
  • C. historicalLanguage
    Indicates that one language is a historical or earlier form/ancestor of another language.
  • D. historicalLanguageRegion chosen
    Indicates that a language was historically spoken or used within a particular geographic region, regardless of its current status there.
  • E. heritageLanguage
    Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e860888190a8a8702377db949e completed April 1, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69cc5c279ea481908c71756f694b66bf completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:50 p.m.