Triple

T13397982
Position Surface form Disambiguated ID Type / Status
Subject Gtech E319748 entity
Predicate brand P1500 FINISHED
Object Gtech Pro E319748 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: Gtech Pro | Statement: [Gtech, brand, Gtech Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gtech Pro
Context triple: [Gtech, brand, Gtech Pro]
  • A. Gtech chosen
    Gtech is a British home and garden appliance company best known for its cordless vacuum cleaners and other innovative household products.
  • B. Gtech System K9
    Gtech System K9 is a cordless vacuum cleaner model designed for powerful, convenient home cleaning, particularly effective for households with pets.
  • C. Wyse
    Wyse is an alternative spelling of the surname Wise, which is borne by various individuals and businesses.
  • D. Efficeon
    Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
  • E. MinTech
    MinTech is the abbreviated name commonly used for the Ministry of Technology, a government body responsible for national science, technology, and innovation policy.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d9e7348190844e11dd6cbd13b0 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73983b8f08190bf4d1a64c0beab97 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:34 p.m.