Triple

T5879944
Position Surface form Disambiguated ID Type / Status
Subject TU9 E130720 entity
Predicate hasMember P10 FINISHED
Object Technische Universität Berlin E40017 NE 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: Technische Universität Berlin | Statement: [TU9, hasMember, Technische Universität Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Technische Universität Berlin
Context triple: [TU9, hasMember, Technische Universität Berlin]
  • A. Technical University of Berlin chosen
    The Technical University of Berlin is a major research-intensive university in Germany known for its strong engineering, natural sciences, and technology programs.
  • B. Dresden University of Technology
    Dresden University of Technology is a major German research university located in Dresden, renowned for its engineering, natural sciences, and interdisciplinary innovation.
  • C. Technical University of Braunschweig
    The Technical University of Braunschweig is a major German research university known for its strong engineering and natural sciences programs and its location in the city of Braunschweig.
  • D. Technical University of Darmstadt
    The Technical University of Darmstadt is a leading German research university renowned for its engineering, computer science, and natural sciences programs.
  • E. RWTH Aachen University
    RWTH Aachen University is a leading German public research university renowned for its engineering, technology, and natural sciences programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03633f0d88190b0ecf595cb28b783 completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c31d3848190b8619263cf76e45e completed March 27, 2026, 12:46 p.m.
Created at: March 22, 2026, 3:57 p.m.