Triple

T4381742
Position Surface form Disambiguated ID Type / Status
Subject Zyvex E99145 entity
Predicate hasDivision P35 FINISHED
Object Zyvex Instruments 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 Instruments | Statement: [Zyvex, hasDivision, Zyvex Instruments]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zyvex Instruments
Context triple: [Zyvex, hasDivision, Zyvex Instruments]
  • A. Zyvex chosen
    Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
  • B. Mogami
    Mogami was a lead ship of a class of Japanese World War II heavy cruisers known for their high speed, heavy armament, and participation in major Pacific naval battles.
  • C. Apogee, Inc.
    Apogee, Inc. is a visual effects company established by Academy Award–winning special effects artist John Dykstra, known for its pioneering work in film visual effects.
  • D. General Instrument Corporation
    General Instrument Corporation was a major American electronics and telecommunications equipment manufacturer known for its cable television and satellite technology.
  • E. Setra Systems
    Setra Systems is a manufacturer of high-precision sensing and measurement instruments, particularly known for its pressure and environmental sensors used in industrial, HVAC, and critical environment applications.
  • 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_69b5f5e210108190bf14731ce3774b6b completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:18 p.m.