Triple

T16853130
Position Surface form Disambiguated ID Type / Status
Subject LG Velvet E409722 entity
Predicate hasModel P2390 FINISHED
Object LG Velvet LTE 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 LTE | Statement: [LG Velvet, hasModel, LG Velvet LTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LG Velvet LTE
Context triple: [LG Velvet, hasModel, LG Velvet LTE]
  • 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 V series smartphones
    LG V series smartphones are a line of high-end Android devices from LG known for their advanced multimedia features, premium hardware, and focus on audio and camera performance.
  • D. LGAT
    LGAT is the former ICAO airport code for Ellinikon International Airport, the now-closed primary airport that once served Athens, Greece.
  • E. ViLTE
    ViLTE (Video over LTE) is a 4G LTE-based technology that enables high-quality, real-time video calling natively over mobile networks without requiring third-party apps.
  • 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.