Triple

T24471605
Position Surface form Disambiguated ID Type / Status
Subject Heavy and Chemical Industrialization era of South Korea E617114 entity
Predicate benefitedEnterprise P77057 FINISHED
Object Hyundai Group 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: Hyundai Group | Statement: [Heavy and Chemical Industrialization era of South Korea, benefitedEnterprise, Hyundai Group]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitedEnterprise
Context triple: [Heavy and Chemical Industrialization era of South Korea, benefitedEnterprise, Hyundai Group]
  • A. sectorBenefited
    Indicates that a particular sector gains advantage, support, or positive impact from a given action, policy, resource, or entity.
  • B. beneficeType
    Indicates the specific category or kind of benefice (ecclesiastical office or endowed church position) associated with an entity.
  • C. benefice chosen
    Indicates that one entity grants or bestows a benefit, favor, or advantage upon another.
  • D. notableEnterprise
    Indicates that an entity is a business or commercial organization recognized for its significance, prominence, or impact.
  • E. benefitedCountry
    Indicates that one country gains an advantage, profit, or positive outcome from an action, event, or entity associated with another.
  • 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_69e2d7f197588190889a03e620558059 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29943e9cc81909f1742c778bf3587 completed April 29, 2026, 11:50 p.m.
PD Predicate disambiguation batch_69f287d76c7c81909494f12e606a9149 completed April 29, 2026, 10:36 p.m.
Created at: April 18, 2026, 2:20 a.m.