Triple

T19723668
Position Surface form Disambiguated ID Type / Status
Subject General Schedule E473669 entity
Predicate hasNumberOfGrades P13058 FINISHED
Object 15 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: 15 | Statement: [General Schedule, hasNumberOfGrades, 15]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfGrades
Context triple: [General Schedule, hasNumberOfGrades, 15]
  • A. hasGradeCount chosen
    Indicates a relationship where an entity is associated with the number of grades it has or has received.
  • B. hasGrades
    Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
  • C. hasGradesOrClasses
    Indicates that an entity is associated with academic evaluations or enrolled instructional sessions, such as grades received or classes taken.
  • D. hasGradeStatus
    Indicates that an entity holds a particular grade-related status or standing within an evaluation or grading system.
  • E. hasPossibleGrades
    Indicates that an entity is associated with a set or list of grades that it can potentially receive.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f64984819097882c44098b1643 completed April 20, 2026, 3:44 p.m.
PD Predicate disambiguation batch_69e5304a7aac8190ac13f75f0c008e45 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:46 p.m.