Triple

T22837713
Position Surface form Disambiguated ID Type / Status
Subject South Korean E565990 entity
Predicate associatedWithTechnologyCompany P149917 FINISHED
Object LG NE NERFINISHED

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 | Statement: [South Korean, associatedWithTechnologyCompany, LG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LG
Context triple: [South Korean, associatedWithTechnologyCompany, LG]
  • A. LG
    LG is the post-nominal abbreviation used by members of the prestigious British chivalric Order of the Garter.
  • B. LG
    LG is an abbreviation commonly used to refer to the Local Group, the galaxy group that includes the Milky Way, Andromeda, and numerous smaller galaxies.
  • C. LG
    LG is the standard abbreviation for *Lumen Gentium*, the Second Vatican Council’s Dogmatic Constitution on the Church, which outlines Catholic teaching on the nature and mission of the Church.
  • D. LG
    LG is the vehicle registration code used on license plates for the Province of Liège in Belgium.
  • E. LG Electronics chosen
    LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e303cec81909c5c118dc8c93354 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.