Triple

T20395275
Position Surface form Disambiguated ID Type / Status
Subject Norsk Hydro E500185 entity
Predicate acquired P2511 FINISHED
Object Vialco
Vialco was an aluminum production company that became part of Norsk Hydro’s global metals operations through acquisition.
 E1428498 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: Vialco | Statement: [Norsk Hydro, acquired, Vialco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vialco
Context triple: [Norsk Hydro, acquired, Vialco]
  • A. Niquero
    Niquero is a coastal town and municipality in Granma Province, Cuba, known for its historical role in the Cuban Revolution and proximity to important coastal and natural areas.
  • B. Nusco
    Nusco is a small historic town in the Campania region of southern Italy, known for its medieval architecture and scenic hilltop setting.
  • C. Paceco
    Paceco is a small Sicilian town in western Italy known for its agricultural landscape and proximity to the city of Trapani.
  • D. Vacone
    Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
  • E. Malesco
    Malesco is a small municipality in the Piedmont region of northern Italy, located in the mountainous Verbano-Cusio-Ossola province near the Swiss border.
  • 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: Vialco
Triple: [Norsk Hydro, acquired, Vialco]
Generated description
Vialco was an aluminum production company that became part of Norsk Hydro’s global metals operations through acquisition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vialco
Target entity description: Vialco was an aluminum production company that became part of Norsk Hydro’s global metals operations through acquisition.
  • A. Niquero
    Niquero is a coastal town and municipality in Granma Province, Cuba, known for its historical role in the Cuban Revolution and proximity to important coastal and natural areas.
  • B. Nusco
    Nusco is a small historic town in the Campania region of southern Italy, known for its medieval architecture and scenic hilltop setting.
  • C. Paceco
    Paceco is a small Sicilian town in western Italy known for its agricultural landscape and proximity to the city of Trapani.
  • D. Vacone
    Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
  • E. Malesco
    Malesco is a small municipality in the Piedmont region of northern Italy, located in the mountainous Verbano-Cusio-Ossola province near the Swiss border.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67912d7948190ac2fda8ce95e5c70 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08762804ac81909e90e7983246cb28 completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a0877d6b364819080b5e701acea02aa completed May 16, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a08787cfe6c8190881554ead3cfd248 completed May 16, 2026, 2 p.m.
Created at: April 16, 2026, 11:28 a.m.