Triple

T35873333
Position Surface form Disambiguated ID Type / Status
Subject New South Wales education system E1037287 entity
Predicate mainLanguageOfInstruction P56 FINISHED
Object English NE NERFINISHED

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: English | Statement: [New South Wales education system, mainLanguageOfInstruction, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainLanguageOfInstruction
Context triple: [New South Wales education system, mainLanguageOfInstruction, English]
  • A. primaryLanguageOfInstruction chosen
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • B. languageOfTeachings
    Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
  • C. 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.
  • D. languageOfAwardingInstitution
    Indicates the language in which the awarding institution formally grants or documents the award.
  • E. taughtAsForeignLanguageIn
    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_69f76e1e701c8190a4990d4978ce4fe6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa3883d48190b05e3d2da7a017ae completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d435288190b30b1991fb003121 completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.