Triple

T23056441
Position Surface form Disambiguated ID Type / Status
Subject National Foundation Day of South Korea E574166 entity
Predicate publicSectorImpact P51728 FINISHED
Object closure of government offices 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: closure of government offices | Statement: [National Foundation Day of South Korea, publicSectorImpact, closure of government offices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicSectorImpact
Context triple: [National Foundation Day of South Korea, publicSectorImpact, closure of government offices]
  • A. impactOnIndustry
    Indicates the effect or influence that one entity, event, or action has on the state, performance, or development of an industry.
  • B. socialImpact
    Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
  • C. publicSectorStatus
    Indicates whether an entity is part of, controlled by, or associated with the public sector (e.g., government or state-owned institutions).
  • D. sectorBenefited
    Indicates that a particular sector gains advantage, support, or positive impact from a given action, policy, resource, or entity.
  • E. impactCategory chosen
    Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1868099708190b23725dc8a305e09 completed April 29, 2026, 4:18 a.m.
PD Predicate disambiguation batch_69ef89d5f71881908b9f9d0c8aab278c completed April 27, 2026, 4:07 p.m.
Created at: April 17, 2026, 3:55 p.m.