Triple
T1347273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ETH Board |
E28799
|
entity |
| Predicate | oversees |
P46
|
FINISHED |
| Object |
Swiss Federal Laboratories for Materials Science and Technology
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.
|
E157149
|
NE FINISHED |
How this triple was built (4 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: [ETH Board, oversees, 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: [ETH Board, oversees, Swiss Federal Laboratories for Materials Science and Technology]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Swiss Academy of Sciences
The Swiss Academy of Sciences is a national scientific institution in Switzerland that promotes research, supports scientific collaboration, and advises society and policymakers on science-related issues.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Swiss Federal Laboratories for Materials Science and Technology Triple: [ETH Board, oversees, Swiss Federal Laboratories for Materials Science and Technology]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swiss Federal Laboratories for Materials Science and Technology Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Swiss Academy of Sciences
The Swiss Academy of Sciences is a national scientific institution in Switzerland that promotes research, supports scientific collaboration, and advises society and policymakers on science-related issues.
- F. None of above. chosen
Provenance (5 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_69acce68225081909d995cd7ae5f2224 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69acd25243448190b147b9eb9293f925 |
completed | March 8, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd2c474908190a9e9b74addcb1c9a |
completed | March 8, 2026, 1:37 a.m. |
Created at: March 1, 2026, 7:56 p.m.