Triple

T4381743
Position Surface form Disambiguated ID Type / Status
Subject Zyvex E99145 entity
Predicate hasDivision P35 FINISHED
Object Zyvex Performance Materials E99145 NE FINISHED

How this triple was built (2 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: Zyvex Performance Materials | Statement: [Zyvex, hasDivision, Zyvex Performance Materials]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zyvex Performance Materials
Context triple: [Zyvex, hasDivision, Zyvex Performance Materials]
  • A. Zyvex chosen
    Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
  • B. Enerjet
    Enerjet was a Canadian low-cost charter airline that later rebranded and relaunched as Lynx Air, focusing on ultra-low-cost scheduled passenger services.
  • C. Koch Supply & Trading
    Koch Supply & Trading is the energy trading and commodities arm of Koch Industries, specializing in the global marketing, trading, and logistics of oil, gas, and related products.
  • D. Goodrich Corporation
    Goodrich Corporation was a major American aerospace and defense company known for manufacturing aircraft systems and components before its acquisition by United Technologies Corporation.
  • E. Kellex Corporation
    Kellex Corporation was an engineering firm best known for designing and overseeing construction of the K-25 gaseous diffusion plant used in the Manhattan Project to enrich uranium during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352613dd481909e008a8db239a108 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51ff9188190aa4581d451feaafd completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:18 p.m.