Triple

T1347186
Position Surface form Disambiguated ID Type / Status
Subject ETH Zurich E28797 entity
Predicate type P0 FINISHED
Object federal institute of technology E29107 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: federal institute of technology | Statement: [ETH Zurich, type, federal institute of technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: federal institute of technology
Context triple: [ETH Zurich, type, federal institute of technology]
  • A. École polytechnique fédérale de Zurich chosen
    École polytechnique fédérale de Zurich is a leading Swiss public research university in Zurich renowned worldwide for its excellence in science, engineering, and technology.
  • B. École polytechnique fédérale de Lausanne
    École polytechnique fédérale de Lausanne is a leading Swiss research university and engineering school known for its cutting-edge work in science, technology, and innovation.
  • C. Clausthal University of Technology
    Clausthal University of Technology is a German public research university renowned for its engineering, natural sciences, and mining-related programs.
  • D. Swiss Federal Institutes of Technology Domain
    The Swiss Federal Institutes of Technology Domain is a Swiss government-controlled network of leading science and technology institutions, including ETH Zurich and EPFL, focused on advanced research, education, and innovation.
  • E. Technical University of Munich
    The Technical University of Munich is a leading German research university renowned for its excellence in engineering, natural sciences, and technology, as well as its strong industry partnerships and innovation.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2406c488190b2c04d54d9c5e94c completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc639201c81908ed9c9ac37cd358f completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.