Triple

T6918129
Position Surface form Disambiguated ID Type / Status
Subject Technical University of Darmstadt E160115 entity
Predicate shortName P43 FINISHED
Object TU Darmstadt E160115 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: TU Darmstadt | Statement: [Technical University of Darmstadt, shortName, TU Darmstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TU Darmstadt
Context triple: [Technical University of Darmstadt, shortName, TU Darmstadt]
  • A. Technical University of Darmstadt chosen
    The Technical University of Darmstadt is a leading German research university renowned for its engineering, computer science, and natural sciences programs.
  • B. University of Karlsruhe
    The University of Karlsruhe was a prominent German technical university known for its strong engineering and natural sciences programs and later became part of the Karlsruhe Institute of Technology (KIT).
  • C. University of Stuttgart
    The University of Stuttgart is a major German public research university renowned for its strong engineering, natural sciences, and technology programs.
  • D. Technical University of Kaiserslautern
    The Technical University of Kaiserslautern is a German public research university specializing in science and engineering, recognized for its strong technical programs and innovative research.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e17ea08190b8c4142af8adfba0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e4fd792481909251c8749d7a11a3 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:26 p.m.