Triple
T21922652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulzer Brothers |
E541356
|
entity |
| Predicate | laterBecame |
P101
|
FINISHED |
| Object | public company Sulzer AG |
—
|
NE NERFINISHED |
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: public company Sulzer AG | Statement: [Sulzer Brothers, laterBecame, public company Sulzer AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: public company Sulzer AG Context triple: [Sulzer Brothers, laterBecame, public company Sulzer AG]
-
A.
Sulzer Brothers
chosen
Sulzer Brothers was a prominent Swiss engineering and manufacturing company known for its pioneering work in diesel engines and industrial machinery.
-
B.
Schluchseewerk AG
Schluchseewerk AG is a German energy company best known for operating major hydropower and pumped-storage plants in the Black Forest region.
-
C.
Münchwilen AG
Münchwilen AG is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and location within the Fricktal region.
-
D.
Brugg AG
Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
-
E.
Dürr AG
Dürr AG is a German engineering company known globally for its production and automation technologies, particularly in painting, finishing, and environmental systems for the automotive and manufacturing industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233d096c8190af0d7cd21879c91b |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:45 p.m.