Triple

T1026016
Position Surface form Disambiguated ID Type / Status
Subject Republic of Vietnam E22138 entity
Predicate secondaryEducationLanguage P1253 FINISHED
Object French 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: French | Statement: [Republic of Vietnam, secondaryEducationLanguage, French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryEducationLanguage
Context triple: [Republic of Vietnam, secondaryEducationLanguage, French]
  • A. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • B. historicallyDominantLanguageOfHigherEducationIn
    Indicates that a language has historically been the primary or prevailing medium of instruction and scholarly communication in institutions of higher education within a given place or region.
  • C. hasSecondaryLanguage
    Indicates that an entity possesses or uses a secondary language in addition to its primary language.
  • D. mediumOfInstruction
    Indicates that a particular language or medium is used as the primary means of instruction or teaching in an educational context.
  • E. taughtAsForeignLanguageIn chosen
    Indicates that a language is taught as a foreign (non-native) language within a particular educational context or institution.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f5e7b48190b26524573c2824ba completed March 1, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69a4b72619cc8190932fdfa0c74dc055 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.