Triple

T16853496
Position Surface form Disambiguated ID Type / Status
Subject Panasonic Corporation E409729 entity
Predicate hasBrand P1500 FINISHED
Object Technics E850020 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: Technics | Statement: [Panasonic Corporation, hasBrand, Technics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Technics
Context triple: [Panasonic Corporation, hasBrand, Technics]
  • A. Technics chosen
    Technics is a Japanese audio equipment brand best known for its high-fidelity turntables and sound systems, particularly popular among audiophiles and DJs.
  • B. Denon
    Denon is a Japanese audio equipment manufacturer renowned for its high-fidelity home theater systems, amplifiers, and headphones.
  • C. LS Technics
    LS Technics is a Polish aircraft maintenance and engineering company providing MRO (maintenance, repair, and overhaul) services for airlines and aviation operators.
  • D. 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.
  • E. Bose
    Bose is a common Indian surname most prominently associated with physicist Satyendra Nath Bose, whose work led to the concept of bosons and Bose–Einstein statistics.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37bbb80819086d844a313625cad completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb216fac81909d401c6b9911d1e0 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.