Triple

T32783413
Position Surface form Disambiguated ID Type / Status
Subject Technische Hochschule Brandenburg E838419 entity
Predicate offersDegreeProgramIn P168265 FINISHED
Object engineering 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: engineering | Statement: [Technische Hochschule Brandenburg, offersDegreeProgramIn, engineering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersDegreeProgramIn
Context triple: [Technische Hochschule Brandenburg, offersDegreeProgramIn, engineering]
  • A. offersDegree
    Indicates that an institution or program provides a specific academic degree as an available qualification.
  • B. degreePrograms chosen
    Indicates a relationship where an institution or entity offers, manages, or is associated with specific academic degree programs.
  • C. grantsDegreesFrom
    Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
  • D. programOffered
    Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
  • E. hasUndergraduatePrograms
    Indicates that an educational institution offers one or more undergraduate-level academic programs.
  • 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_69f3493b83f48190be335cd42465cecf completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd82ed2a4c81908bd7797fbd2e3d08 completed May 8, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69fd814cc10481908e4f8123d35a5d0c completed May 8, 2026, 6:23 a.m.
Created at: May 1, 2026, 1:14 a.m.