Triple

T4051420
Position Surface form Disambiguated ID Type / Status
Subject LG Mobile Communications E84593 entity
Predicate successorBusinessFocus P44322 FINISHED
Object electric vehicle components LITERAL 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: electric vehicle components | Statement: [LG Mobile Communications, successorBusinessFocus, electric vehicle components]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorBusinessFocus
Context triple: [LG Mobile Communications, successorBusinessFocus, electric vehicle components]
  • A. successorFocus
    Indicates that one entity becomes the primary or main focus immediately after another entity in a sequence or process.
  • B. entrepreneurialFocus
    Indicates a relationship where an entity prioritizes or emphasizes entrepreneurial activities, initiatives, or mindset in its behavior or strategy.
  • C. successorInMarket
    Indicates that one entity has taken over or followed another in serving the same market or customer base.
  • D. underlyingCompanyBusinessFocus
    Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
  • E. laterMainBusiness chosen
    Indicates that one business activity or enterprise occurs after and succeeds another as the main business.
  • F. None of above.

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.
PD Predicate disambiguation batch_69aef90249e4819095e9e043bc4aa9a6 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:37 p.m.