Triple

T29020817
Position Surface form Disambiguated ID Type / Status
Subject Springfield Elementary School E737445 entity
Predicate languageOfInstructionInUniverse P70771 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: [Springfield Elementary School, languageOfInstructionInUniverse, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfInstructionInUniverse
Context triple: [Springfield Elementary School, languageOfInstructionInUniverse, English]
  • A. languageOfTeachings
    Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
  • B. 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.
  • C. hasLanguageInUniverse chosen
    Indicates that a particular language exists or is used within a specified fictional or conceptual universe.
  • D. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • E. languageOfInstructions
    Indicates that one entity specifies the language in which instructions or guidance are provided for another entity.
  • 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_69f077ee19f881909af48f9cab00a2e5 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69fe6b7c785c8190aaab06019f571434 completed May 8, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69fe68edef20819081c77f9607b944dd completed May 8, 2026, 10:51 p.m.
Created at: April 28, 2026, 9:49 a.m.