Triple
T13512705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valtion Lentokonetehdas |
E322677
|
entity |
| Predicate | mergedInto |
P77
|
FINISHED |
| Object | Valmet |
E322678
|
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: Valmet | Statement: [Valtion Lentokonetehdas, mergedInto, Valmet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valmet Context triple: [Valtion Lentokonetehdas, mergedInto, Valmet]
-
A.
Valmet Automotive
Valmet Automotive is a Finnish contract manufacturer and engineering partner that builds vehicles and provides automotive engineering and battery solutions for major global carmakers.
-
B.
Voith
Voith is a German multinational engineering company known for its technologies and services in sectors such as energy, paper, raw materials, and transportation.
-
C.
Valtion Metallitehtaat
chosen
Valtion Metallitehtaat was a Finnish state-owned metal and defense industry company that later evolved into the modern defense contractor Patria.
-
D.
Prestfoss
Prestfoss is a village in Buskerud, Norway, known as the main local hub for municipal services and community life in the Sigdal area.
-
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 (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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d91e35881909a7184be0ad70c14 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.