Triple
T23075264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulzer 12LDA28C |
E575310
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Sulzer |
—
|
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: Sulzer | Statement: [Sulzer 12LDA28C, manufacturer, Sulzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulzer Context triple: [Sulzer 12LDA28C, manufacturer, Sulzer]
-
A.
Voith
Voith is a German multinational engineering company known for its technologies and services in sectors such as energy, paper, raw materials, and transportation.
-
B.
Asea Brown Boveri
Asea Brown Boveri (ABB) is a multinational Swiss-Swedish corporation known for its leading role in power and automation technologies, including robotics, electrification, and industrial control systems.
-
C.
Sulzer Brothers
chosen
Sulzer Brothers was a prominent Swiss engineering and manufacturing company known for its pioneering work in diesel engines and industrial machinery.
-
D.
Bühler
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
-
E.
Wärtsilä
Wärtsilä is a Finnish technology company best known for manufacturing marine and energy power solutions, including ship engines and specialized vessels.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c62c200819099c92654493288ad |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.