Triple

T5739428
Position Surface form Disambiguated ID Type / Status
Subject Combined Defence Services Examination E126576 entity
Predicate languageOfQuestionPapers P10520 FINISHED
Object English 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: English | Statement: [Combined Defence Services Examination, languageOfQuestionPapers, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfQuestionPapers
Context triple: [Combined Defence Services Examination, languageOfQuestionPapers, English]
  • A. languageOfTeachings
    Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
  • B. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • C. languageOfAssessment chosen
    Indicates that a specified language is used as the medium of assessment (e.g., for tests, evaluations, or examinations) for a given entity.
  • D. languageOfAwardingInstitution
    Indicates the language in which the awarding institution formally grants or documents the award.
  • E. 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.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255dc35c8190ab9ee5d269ce553a completed March 22, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69c021c8195481909419808b002628aa completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:48 p.m.