Triple

T22421901
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Plastics E554267 entity
Predicate hasBrand P1500 FINISHED
Object Novarex
Novarex is a brand of plastic and resin products owned by Mitsubishi Plastics, known for materials used in various industrial and consumer applications.
 E1536592 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: Novarex | Statement: [Mitsubishi Plastics, hasBrand, Novarex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Novarex
Context triple: [Mitsubishi Plastics, hasBrand, Novarex]
  • A. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • B. Aveksa
    Aveksa is an identity and access management company, known for its governance and lifecycle solutions, that was acquired and rebranded by RSA.
  • C. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • D. Sanex
    Sanex is a personal care brand known for its skin-friendly hygiene products such as shower gels and deodorants, widely sold across European markets.
  • E. Minova
    Minova is a town in the eastern Democratic Republic of the Congo, situated on the shores of Lake Kivu and known as a key commercial and transit hub in South Kivu province.
  • 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: Novarex
Triple: [Mitsubishi Plastics, hasBrand, Novarex]
Generated description
Novarex is a brand of plastic and resin products owned by Mitsubishi Plastics, known for materials used in various industrial and consumer applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Novarex
Target entity description: Novarex is a brand of plastic and resin products owned by Mitsubishi Plastics, known for materials used in various industrial and consumer applications.
  • A. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • B. Aveksa
    Aveksa is an identity and access management company, known for its governance and lifecycle solutions, that was acquired and rebranded by RSA.
  • C. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • D. Sanex
    Sanex is a personal care brand known for its skin-friendly hygiene products such as shower gels and deodorants, widely sold across European markets.
  • E. Minova
    Minova is a town in the eastern Democratic Republic of the Congo, situated on the shores of Lake Kivu and known as a key commercial and transit hub in South Kivu province.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2a1a3c8190a649ee4df2429e69 completed April 29, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0ee77208190b037b3baea224767 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0b08d42f148190a6dafbd6ef40727a completed May 18, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0b09afe1948190bf7bd09e637e9089 completed May 18, 2026, 12:44 p.m.
Created at: April 16, 2026, 8:46 p.m.