Triple

T8245134
Position Surface form Disambiguated ID Type / Status
Subject DD E192832 entity
Predicate associatedWithProductInnovation P81130 FINISHED
Object Teflon E192834 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: Teflon | Statement: [DD, associatedWithProductInnovation, Teflon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teflon
Context triple: [DD, associatedWithProductInnovation, Teflon]
  • A. Teflon chosen
    Teflon is a synthetic fluoropolymer best known for its nonstick, heat-resistant coating used on cookware and in various industrial applications.
  • B. Kapton
    Kapton is a high-performance polyimide film known for its exceptional thermal stability, electrical insulation, and durability in extreme environments such as outer space.
  • C. DuPont Tedlar
    DuPont Tedlar is a durable polyvinyl fluoride (PVF) film widely used for protective and decorative surface applications in industries such as construction, photovoltaics, and transportation.
  • D. Nomex
    Nomex is a high-performance, flame-resistant aramid fiber widely used in protective clothing and industrial applications for its heat and fire resistance.
  • E. Kevlar
    Kevlar is a high-strength, lightweight synthetic fiber widely used in bulletproof vests, protective gear, and industrial applications for its exceptional durability and resistance to impact and heat.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7872f6d481909ea1d3c2aad1a2b1 completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd352b1a288190bd13ef84bef7fa1c completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.