Triple

T9406180
Position Surface form Disambiguated ID Type / Status
Subject Luisengymnasium Munich E226592 entity
Predicate hasTeachers P52943 FINISHED
Object yes — 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: yes | Statement: [Luisengymnasium Munich, hasTeachers, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTeachers
Context triple: [Luisengymnasium Munich, hasTeachers, yes]
  • A. hasTeacher chosen
    Indicates that one entity serves as an instructor or educator for another entity.
  • B. hasTeaching
    Indicates that one entity provides instruction or educational guidance to another entity.
  • C. hasStudents
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • D. hasTeachingRole
    Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
  • E. hasTeachingStatus
    Indicates that an entity holds a particular teaching-related role, capacity, or status in relation to another entity or context.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c2b9bc81909a4ce91792294d1c completed April 1, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69cca54c37f88190bddccf28e5fe5c84 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:47 p.m.