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.