Triple
T6831600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Federal Laboratories for Materials Science and Technology |
E157149
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Empa |
E154315
|
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: Empa | Statement: [Swiss Federal Laboratories for Materials Science and Technology, abbreviation, Empa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empa Context triple: [Swiss Federal Laboratories for Materials Science and Technology, abbreviation, Empa]
-
A.
Empa
chosen
Empa is a Swiss federal research institute focused on materials science and technology, known for developing innovative solutions for industry and society.
-
B.
Engertal
Engertal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, forests, and popular hiking routes.
-
C.
Arvato
Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
-
D.
Bardenbach
Bardenbach is a village and district of the town of Wadern in the Saarland region of western Germany.
-
E.
Warburg
Warburg is a prominent German-Jewish banking and philanthropic family historically influential in international finance and economic 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62992908190996efab71cbf70f0 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fab60708190825876e5715c0cc4 |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:18 p.m.