Triple

T4051235
Position Surface form Disambiguated ID Type / Status
Subject LG Corporation E84589 entity
Predicate hasBrand P1500 FINISHED
Object LG Uplus E409708 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 Uplus | Statement: [LG Corporation, hasBrand, LG Uplus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LG Uplus
Context triple: [LG Corporation, hasBrand, LG Uplus]
  • A. LG Uplus chosen
    LG Uplus is a major South Korean telecommunications company providing mobile, internet, and other communication services.
  • B. T-Mobile US
    T-Mobile US is a major American wireless network operator known for its nationwide mobile phone services and aggressive “Un-carrier” marketing strategy.
  • C. O2 mobile network
    O2 mobile network is a major UK telecommunications provider offering mobile phone, data, and related digital services to consumers and businesses.
  • D. Cricket Wireless
    Cricket Wireless is a U.S.-based prepaid wireless service provider offering affordable mobile phone plans and coverage on AT&T’s nationwide network.
  • E. NTT DoCoMo
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8539148190990468c1429be9dd completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5629e75e88190935ae3e7db8eb12f completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:37 p.m.