Triple

T8937980
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Lichtenberg E212823 entity
Predicate hasUniversityOrCollege P62952 FINISHED
Object Hochschule für Technik und Wirtschaft Berlin (campus in Karlshorst) E353653 NE FINISHED

How this triple was built (3 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: Hochschule für Technik und Wirtschaft Berlin (campus in Karlshorst) | Statement: [Berlin-Lichtenberg, hasUniversityOrCollege, Hochschule für Technik und Wirtschaft Berlin (campus in Karlshorst)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hochschule für Technik und Wirtschaft Berlin (campus in Karlshorst)
Context triple: [Berlin-Lichtenberg, hasUniversityOrCollege, Hochschule für Technik und Wirtschaft Berlin (campus in Karlshorst)]
  • A. Beuth University of Applied Sciences Berlin (campus) chosen
    Beuth University of Applied Sciences Berlin is a practice-oriented public university of applied sciences in Berlin, Germany, offering a wide range of technical and engineering-focused degree programs.
  • B. Technical University of Berlin
    The Technical University of Berlin is a major research-intensive university in Germany known for its strong engineering, natural sciences, and technology programs.
  • C. University of Applied Sciences Karlsruhe
    The University of Applied Sciences Karlsruhe is a German higher education institution in Karlsruhe specializing in practice-oriented engineering, computer science, business, and media programs closely linked to industry.
  • D. Brandenburg University of Technology Cottbus–Senftenberg
    Brandenburg University of Technology Cottbus–Senftenberg is a German technical university known for its focus on engineering, natural sciences, and environmental studies, with campuses in Cottbus and Senftenberg in the state of Brandenburg.
  • E. Berlin Nordufer campus
    Berlin Nordufer campus is a major Berlin site of the Robert Koch Institute that hosts key public health and infectious disease research facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUniversityOrCollege
Context triple: [Berlin-Lichtenberg, hasUniversityOrCollege, Hochschule für Technik und Wirtschaft Berlin (campus in Karlshorst)]
  • A. hasUniversities chosen
    Indicates that an entity possesses, contains, or is associated with one or more universities.
  • B. hasCollegeType
    Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
  • C. hasCollegeCampus
    Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
  • D. hasColleges
    Indicates that an entity possesses, contains, or is associated with one or more colleges.
  • E. isInCollege
    Indicates that a person is currently enrolled as a student at a college or university.
  • F. None of above.

Provenance (4 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b57a348190979effe4f9998eb7 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1e692548190b631c4926927d12f completed April 3, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69cc5ed5267c8190a43feb2a2f3df1ec completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 6:58 p.m.