Triple

T13538158
Position Surface form Disambiguated ID Type / Status
Subject Arkema E323313 entity
Predicate notableBrand P1500 FINISHED
Object Kynar
Kynar is Arkema’s well-known brand of polyvinylidene fluoride (PVDF) resins used for high-performance coatings, films, and engineering plastics.
 E1047920 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: Kynar | Statement: [Arkema, notableBrand, Kynar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kynar
Context triple: [Arkema, notableBrand, Kynar]
  • A. Kinrooi
    Kinrooi is a municipality in the northeastern part of the Belgian province of Limburg, near the Dutch border, known for its rural character and waterways.
  • B. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • C. Kori
    Kori is a dialect of the Kaili language, an Austronesian language spoken in Central Sulawesi, Indonesia.
  • D. Kori
    Kori is a given name, often used as a variant spelling of Cory or Corey.
  • E. Kalyke
    Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
  • 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: Kynar
Triple: [Arkema, notableBrand, Kynar]
Generated description
Kynar is Arkema’s well-known brand of polyvinylidene fluoride (PVDF) resins used for high-performance coatings, films, and engineering plastics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kynar
Target entity description: Kynar is Arkema’s well-known brand of polyvinylidene fluoride (PVDF) resins used for high-performance coatings, films, and engineering plastics.
  • A. Kinrooi
    Kinrooi is a municipality in the northeastern part of the Belgian province of Limburg, near the Dutch border, known for its rural character and waterways.
  • B. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • C. Kori
    Kori is a given name, often used as a variant spelling of Cory or Corey.
  • D. Kori
    Kori is a dialect of the Kaili language, an Austronesian language spoken in Central Sulawesi, Indonesia.
  • E. Kalyke
    Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9c04b881908a359df791b89b43 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f761e020708190a21ad4c0bc11d730 completed May 3, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69f765d0f9d88190b91097a359043860 completed May 3, 2026, 3:12 p.m.
Created at: April 9, 2026, 9:45 p.m.