Triple

T38261260
Position Surface form Disambiguated ID Type / Status
Subject 42 Paris E1017933 entity
Predicate degreeRequirementForAdmission P139924 FINISHED
Object no formal degree required 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: no formal degree required | Statement: [42 Paris, degreeRequirementForAdmission, no formal degree required]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: degreeRequirementForAdmission
Context triple: [42 Paris, degreeRequirementForAdmission, no formal degree required]
  • A. admissionRequired
    Indicates that access to something is conditional on being formally admitted or granted entry beforehand.
  • B. graduationRequires
    Indicates that completing or obtaining one entity (a graduation) is contingent upon fulfilling or satisfying another entity (a requirement).
  • C. requiresGraduation
    Indicates that one entity must have completed a specified level of education or obtained a graduation credential as a prerequisite for the other entity.
  • D. disciplinaryRequirement
    Indicates that one entity imposes or specifies a disciplinary condition, rule, or obligation that another entity must satisfy.
  • E. admissionsStandard chosen
    Indicates that there is a specified criterion or set of requirements that must be met for admission to a program, institution, or opportunity.
  • 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_69f76de33e4481909099fa812709bd42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcc3321ef081908023590ba70ba0cf completed May 7, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69fcb0fdc6e08190b05e894c59481a0d completed May 7, 2026, 3:34 p.m.
Created at: May 3, 2026, 4:30 p.m.