Triple

T22110650
Position Surface form Disambiguated ID Type / Status
Subject TUM Weihenstephan campus E546405 entity
Predicate hostsDepartment P3556 FINISHED
Object Department of Life Science Systems NE NERFINISHED

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: Department of Life Science Systems | Statement: [TUM Weihenstephan campus, hostsDepartment, Department of Life Science Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Life Science Systems
Context triple: [TUM Weihenstephan campus, hostsDepartment, Department of Life Science Systems]
  • A. Department of Life Sciences
    The Department of Life Sciences is an academic unit at the University of Trieste dedicated to research and education in biological and related life science disciplines.
  • B. Department of Life Sciences
    The Department of Life Sciences is an academic unit at Bharathidasan University focused on teaching and research in biological and related life science disciplines.
  • C. Department of Life Sciences
    The Department of Life Sciences is an academic unit at the National University of Singapore’s Faculty of Science that focuses on teaching and research in biological and life science disciplines.
  • D. Department of Life Sciences
    The Department of Life Sciences at St. Xavier's College, Mumbai is an academic unit focused on teaching and research in biological and related sciences.
  • E. Department of Biosciences
    The Department of Biosciences is an academic unit within Rice University's Wiess School of Natural Sciences that focuses on research and education in biological sciences.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Life Science Systems
Target entity description: The Department of Life Science Systems is a faculty unit of the Technical University of Munich focused on research and education in integrated biological, environmental, and technological systems.
  • A. Department of Life Sciences
    The Department of Life Sciences is an academic unit at the University of Trieste dedicated to research and education in biological and related life science disciplines.
  • B. Department of Life Sciences
    The Department of Life Sciences is an academic unit at Bharathidasan University focused on teaching and research in biological and related life science disciplines.
  • C. Department of Life Sciences
    The Department of Life Sciences is an academic unit at the National University of Singapore’s Faculty of Science that focuses on teaching and research in biological and life science disciplines.
  • D. Department of Life Sciences
    The Department of Life Sciences at St. Xavier's College, Mumbai is an academic unit focused on teaching and research in biological and related sciences.
  • E. Department of Biosciences
    The Department of Biosciences is an academic unit within Rice University's Wiess School of Natural Sciences that focuses on research and education in biological sciences.
  • F. None of above. chosen

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12948c2ec819083340787b2062649 completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:30 p.m.