Triple
T1388364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Federal Institutes of Technology Domain |
E29897
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Swiss Federal Institute for Forest, Snow and Landscape Research |
E154317
|
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 Institute for Forest, Snow and Landscape Research | Statement: [Swiss Federal Institutes of Technology Domain, includes, Swiss Federal Institute for Forest, Snow and Landscape Research]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swiss Federal Institute for Forest, Snow and Landscape Research Context triple: [Swiss Federal Institutes of Technology Domain, includes, Swiss Federal Institute for Forest, Snow and Landscape Research]
-
A.
Swiss Federal Institute for Forest, Snow and Landscape Research
chosen
The Swiss Federal Institute for Forest, Snow and Landscape Research is a Swiss research institution specializing in forests, natural hazards, snow and ice, and landscape management and conservation.
-
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.
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.
-
D.
World Forestry Center
The World Forestry Center is a nonprofit museum and educational institution in Portland, Oregon, dedicated to global forestry, conservation, and sustainable management of forest resources.
-
E.
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.
- 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_69acde2202208190894c3633c6a370d8 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:59 p.m.