Triple
T15693565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubbestadneset |
E380396
|
entity |
| Predicate | hasCompany |
P1287
|
FINISHED |
| Object | Wärtsilä Norway |
E520635
|
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: Wärtsilä Norway | Statement: [Rubbestadneset, hasCompany, Wärtsilä Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wärtsilä Norway Context triple: [Rubbestadneset, hasCompany, Wärtsilä Norway]
-
A.
Wärtsilä
chosen
Wärtsilä is a Finnish technology company best known for manufacturing marine and energy power solutions, including ship engines and specialized vessels.
-
B.
Wilhelmsen
Wilhelmsen is a surname most prominently associated with the Norwegian global maritime industry group Wilh. Wilhelmsen Holding ASA.
-
C.
Kongsberg Maritime
Kongsberg Maritime is a Norwegian company that develops and supplies advanced maritime technology and solutions for offshore, marine, and subsea industries worldwide.
-
D.
Norse Atlantic ASA
Norse Atlantic ASA is a Norwegian aviation company that owns and operates the low-cost long-haul carrier Norse Atlantic Airways, focusing primarily on transatlantic routes.
-
E.
STX Europe
STX Europe was a major European shipbuilding group known for constructing cruise ships, ferries, and offshore vessels at several historic yards across Northern and Western Europe.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4f5a888190bd3681bcb9bbc02f |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6eed9a8c8190a57ffce61a27ec17 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.