Triple

T6788049
Position Surface form Disambiguated ID Type / Status
Subject Byzantine province of Palaestina Prima E155861 entity
Predicate languageInAdministration P11893 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: [Byzantine province of Palaestina Prima, languageInAdministration, Greek]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageInAdministration
Context triple: [Byzantine province of Palaestina Prima, languageInAdministration, Greek]
  • A. languageFamilyOfAdministration
    Indicates the language family used as the primary medium of official governance or administrative functions for an entity.
  • B. historicallyDominantLanguageOfAdministrationIn chosen
    Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political entity.
  • C. localLanguageName
    Indicates the name of a language as it is written or referred to in its own local or native form.
  • D. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • E. laterSecondaryLanguageOfAdministration
    Indicates that one language served as a subsequent or later secondary language used for administrative purposes in relation to another 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2907d0081908291aad66048b8b1 completed March 27, 2026, 6:55 p.m.
PD Predicate disambiguation batch_69c6d0979ce0819094678896da4e3169 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:14 p.m.