Triple

T16853127
Position Surface form Disambiguated ID Type / Status
Subject LG Velvet E409722 entity
Predicate hasModel P2390 FINISHED
Object LG Velvet 4G E409722 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: LG Velvet 4G | Statement: [LG Velvet, hasModel, LG Velvet 4G]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LG Velvet 4G
Context triple: [LG Velvet, hasModel, LG Velvet 4G]
  • A. LG Velvet smartphones chosen
    LG Velvet smartphones are mid-range Android devices from LG known for their sleek, premium design, curved OLED displays, and emphasis on style over flagship-level performance.
  • B. LG VS
    LG VS is a business division of LG focused on developing and supplying automotive components and solutions for vehicle manufacturers.
  • C. LG 1
    LG 1 is the abbreviated designation for Training Wing 1, a military aviation training formation.
  • D. The LG Experience
    The LG Experience is a music project associated with NBA legend and rapper Shaquille O’Neal, known by his stage name Shaq Diesel.
  • E. LG Nexus 4
    The LG Nexus 4 is a Google-branded Android smartphone developed with LG, known for offering a pure Android experience, timely software updates, and strong performance at a relatively low price when it launched in 2012.
  • 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_69e3b37abadc81909d02d329403497d6 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.