Triple

T16946254
Position Surface form Disambiguated ID Type / Status
Subject LG V10 E411075 entity
Predicate series P1761 FINISHED
Object LG V series E411075 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 V series | Statement: [LG V10, series, LG V series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LG V series
Context triple: [LG V10, series, LG V series]
  • A. LG V series smartphones chosen
    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.
  • B. LG V20
    The LG V20 is a high-end Android smartphone released in 2016, known for its dual-screen design, advanced audio features, and focus on multimedia performance.
  • C. LG V10
    The LG V10 is a high-end Android smartphone known for its secondary ticker display, dual front cameras, and durable design.
  • D. LG V60 ThinQ
    The LG V60 ThinQ is a flagship Android smartphone known for its large display, powerful performance, and optional Dual Screen accessory for enhanced multitasking.
  • E. LG V50 ThinQ
    The LG V50 ThinQ is a 2019 flagship Android smartphone known for its 5G connectivity, OLED display, and support for an optional Dual Screen accessory.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb25e0c8190948e62d9575ae9cd completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148201f7c8190a964723ca7ef2b68 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:31 a.m.