Triple
T17502613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trafalgar House |
E426227
|
entity |
| Predicate | parentCompanyAfterAcquisition |
P197
|
FINISHED |
| Object | Kvaerner |
—
|
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: Kvaerner | Statement: [Trafalgar House, parentCompanyAfterAcquisition, Kvaerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvaerner Context triple: [Trafalgar House, parentCompanyAfterAcquisition, Kvaerner]
-
A.
Kvaerner
chosen
Kvaerner is a Norwegian engineering and construction company historically prominent in the shipbuilding and offshore oil and gas industries.
-
B.
Skanska Norge
Skanska Norge is the Norwegian subsidiary of the multinational construction and development company Skanska, responsible for major building and infrastructure projects across Norway.
-
C.
Aker
Aker is a historical area and former municipality that once surrounded and included much of what is now Oslo, Norway.
-
D.
Hans Ditlev Bendixsen Shipyard
Hans Ditlev Bendixsen Shipyard was a prominent late-19th-century shipbuilding yard on the U.S. West Coast, known for constructing wooden sailing vessels used in the lumber trade.
-
E.
Orkla
Orkla is a major river in Trøndelag county, Norway, known for its scenic valley and renowned salmon fishing.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45212ea608190a3f225ba736cd754 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.