Triple

T23028398
Position Surface form Disambiguated ID Type / Status
Subject DuPont Experimental Station E573388 entity
Predicate associatedWith P37 FINISHED
Object Tyvek NE NERFINISHED

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: Tyvek | Statement: [DuPont Experimental Station, associatedWith, Tyvek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyvek
Context triple: [DuPont Experimental Station, associatedWith, Tyvek]
  • A. Tyvek chosen
    Tyvek is a durable, lightweight, synthetic material widely used for protective garments, packaging, and weather-resistant building wraps.
  • B. 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.
  • C. Thermolite
    Thermolite is a synthetic insulation and performance fabric brand known for providing lightweight warmth and moisture management in outdoor and athletic apparel.
  • 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. Nylon
    Nylon is a family of synthetic polymers widely used as strong, lightweight fibers and plastics in textiles, engineering components, and consumer products.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847f453881909a8f2affb48c64f1 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.