Triple
T17502588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trafalgar House |
E426227
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object |
Kvaerner
Kvaerner is a Norwegian engineering and construction company historically prominent in the shipbuilding and offshore oil and gas industries.
|
E1272569
|
NE FINISHED |
How this triple was built (4 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, acquiredBy, Kvaerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvaerner Context triple: [Trafalgar House, acquiredBy, Kvaerner]
-
A.
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.
-
B.
Aker
Aker is a historical area and former municipality that once surrounded and included much of what is now Oslo, Norway.
-
C.
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.
-
D.
Orkla
Orkla is a major river in Trøndelag county, Norway, known for its scenic valley and renowned salmon fishing.
-
E.
Orkla
Orkla is a leading Norwegian conglomerate primarily focused on branded consumer goods, with significant operations across the Nordic and Baltic regions and parts of Central Europe and India.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kvaerner Triple: [Trafalgar House, acquiredBy, Kvaerner]
Generated description
Kvaerner is a Norwegian engineering and construction company historically prominent in the shipbuilding and offshore oil and gas industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kvaerner Target entity description: Kvaerner is a Norwegian engineering and construction company historically prominent in the shipbuilding and offshore oil and gas industries.
-
A.
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.
-
B.
Aker
Aker is a historical area and former municipality that once surrounded and included much of what is now Oslo, Norway.
-
C.
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.
-
D.
Orkla
Orkla is a major river in Trøndelag county, Norway, known for its scenic valley and renowned salmon fishing.
-
E.
Orkla
Orkla is a leading Norwegian conglomerate primarily focused on branded consumer goods, with significant operations across the Nordic and Baltic regions and parts of Central Europe and India.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c2087ff48190a47d2ef191857d57 |
completed | May 11, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_6a01c36b06dc81909f52cbe1c57eb128 |
completed | May 11, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c41859008190b786bdc2c09f24d1 |
completed | May 11, 2026, 11:57 a.m. |
Created at: April 10, 2026, 5:48 a.m.