Triple

T28555020
Position Surface form Disambiguated ID Type / Status
Subject Bagrut E722980 entity
Predicate intermediateLevelUnits P79105 FINISHED
Object 4 study units 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: 4 study units | Statement: [Bagrut, intermediateLevelUnits, 4 study units]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intermediateLevelUnits
Context triple: [Bagrut, intermediateLevelUnits, 4 study units]
  • A. typicalIntermediateLevel
    Indicates that something represents a common or standard degree of difficulty, complexity, or proficiency that falls between beginner and advanced levels.
  • B. intermediate chosen
    Indicates that an entity serves as a middle or transitional stage, position, or link between two other entities, conditions, or levels.
  • C. introducedIntermediateLevel
    Indicates that an entity has brought in or established something at an intermediate level between basic and advanced stages.
  • D. basicLevelUnits
    Indicates that the related entities are connected through a shared basic-level unit or category that groups them at a fundamental level of classification.
  • E. intermediateDegree
    Indicates that one entity holds an educational qualification or degree level that is between basic/entry-level and advanced/higher degrees.
  • 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_69f01a60204481909af1bb76247b8221 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f74c70fd248190a9d5543afcb08211 completed May 3, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69f7478e3b548190a51d5d436e2bb036 completed May 3, 2026, 1:03 p.m.
Created at: April 28, 2026, 3:45 a.m.