Triple

T1388362
Position Surface form Disambiguated ID Type / Status
Subject Swiss Federal Institutes of Technology Domain E29897 entity
Predicate includes P1393 FINISHED
Object Swiss Federal Laboratories for Materials Science and Technology E157149 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: Swiss Federal Laboratories for Materials Science and Technology | Statement: [Swiss Federal Institutes of Technology Domain, includes, Swiss Federal Laboratories for Materials Science and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Swiss Federal Laboratories for Materials Science and Technology
Context triple: [Swiss Federal Institutes of Technology Domain, includes, Swiss Federal Laboratories for Materials Science and Technology]
  • A. Swiss Federal Laboratories for Materials Science and Technology chosen
    The Swiss Federal Laboratories for Materials Science and Technology (Empa) is a Swiss research institution focused on advanced materials, engineering, and technology development to support industry and public policy.
  • B. Paul Scherrer Institute
    The Paul Scherrer Institute is Switzerland’s largest research center for natural and engineering sciences, known for its cutting-edge work in areas such as particle physics, materials science, and energy research.
  • C. Swiss Federal Institute of Aquatic Science and Technology
    The Swiss Federal Institute of Aquatic Science and Technology is a leading Swiss research institute specializing in water resources, aquatic ecosystems, and water-related environmental technologies and management.
  • D. 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.
  • E. ETH Zurich
    ETH Zurich is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology education 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35ad578819090abf96222112bda completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0153f1648190abd63beadfb6709b completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.