Triple

T1527368
Position Surface form Disambiguated ID Type / Status
Subject New Era University E32364 entity
Predicate offersLevelOfEducation P177 FINISHED
Object basic education 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: basic education | Statement: [New Era University, offersLevelOfEducation, basic education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersLevelOfEducation
Context triple: [New Era University, offersLevelOfEducation, basic education]
  • A. offersLevelOfStudy
    Indicates that an institution or program provides a particular level or type of study (e.g., undergraduate, graduate, doctoral) as an available option.
  • B. educationType chosen
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • C. offersDegree
    Indicates that an institution or program provides a specific academic degree as an available qualification.
  • D. educationStatus
    Indicates the current or achieved level, stage, or condition of an entity’s formal education.
  • E. supportsLevelOfStudy
    Indicates that one entity provides or is compatible with a specified level of academic or educational study 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a933ddc5a881909cdf503f2bc29bd4 completed March 5, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69a907ae8f688190ad9000ea1e018585 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.