Triple

T22563656
Position Surface form Disambiguated ID Type / Status
Subject Bertolt Brecht Language High School E557883 entity
Predicate hasTargetQualification P24944 FINISHED
Object secondary school diploma 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: secondary school diploma | Statement: [Bertolt Brecht Language High School, hasTargetQualification, secondary school diploma]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTargetQualification
Context triple: [Bertolt Brecht Language High School, hasTargetQualification, secondary school diploma]
  • A. hasQualifying
    Indicates that one entity possesses or meets a specific condition, attribute, or criterion that qualifies it in relation to another entity or context.
  • B. hasQualification chosen
    Indicates that an entity possesses a specific qualification, credential, or competency.
  • C. hasQualificationCriteria
    Indicates that there are specific conditions or standards that must be met for something to be considered eligible or acceptable.
  • D. qualifyingFor
    Indicates that one entity meets the necessary conditions or criteria to be eligible for another entity, status, or action.
  • E. hasQualifier
    Indicates that one entity serves as a qualifier or modifier that further specifies or restricts the meaning or scope of another entity or statement.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa7a828819096804ac928e2aaf9 completed April 29, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69ee626e6bb08190ada4dd8b48cc0c43 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:52 p.m.