Triple

T8245388
Position Surface form Disambiguated ID Type / Status
Subject Neoprene E192836 entity
Predicate alsoKnownAs P39 FINISHED
Object chloroprene-rubber E192836 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: chloroprene-rubber | Statement: [Neoprene, alsoKnownAs, chloroprene-rubber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: chloroprene-rubber
Context triple: [Neoprene, alsoKnownAs, chloroprene-rubber]
  • A. Neoprene chosen
    Neoprene is a synthetic rubber widely used for its durability, flexibility, and resistance to water, chemicals, and temperature extremes in products like wetsuits, hoses, and gaskets.
  • B. NBR
    NBR is the abbreviation for the North British Railway, a former major Scottish railway company that operated in the 19th and early 20th centuries.
  • C. PVC
    PVC is the IATA airport code for Provincetown Municipal Airport, a small regional airport serving Provincetown, Massachusetts.
  • D. RubberRoss
    RubberRoss is the online alias of Ross O’Donovan, an Australian animator, streamer, and internet personality known for his work on YouTube and involvement with Game Grumps.
  • E. Bakelite
    Bakelite is an early synthetic plastic, notable for its heat resistance and electrical insulating properties, widely used in household goods, electronics, and cookware handles in the early to mid-20th century.
  • 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.