Triple

T33282984
Position Surface form Disambiguated ID Type / Status
Subject Annagry E852098 entity
Predicate usesLanguageForEducation P56 FINISHED
Object Irish 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: Irish | Statement: [Annagry, usesLanguageForEducation, Irish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesLanguageForEducation
Context triple: [Annagry, usesLanguageForEducation, Irish]
  • A. alsoUsesLanguageOfInstruction
    Indicates that an entity, in addition to its primary language, uses the same language that is designated as the language of instruction in a given context.
  • B. usesLanguageFor
    Indicates that an entity employs a particular language as a tool or medium to perform some activity, function, or purpose.
  • C. languageOfTeachings
    Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
  • D. primaryLanguageOfInstruction chosen
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • E. usesLanguageAs
    Indicates that one entity communicates or operates using another entity as its language or linguistic medium.
  • 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_69f349653da08190819876015a298fdb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f70b966860819089cf92927f47c5f1 completed May 3, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69f70abe43e08190b2a30930d96247c1 completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:32 a.m.