Triple

T28671008
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Open E725717 entity
Predicate statusDuringCOVID-19Pandemic P8645 FINISHED
Object suspended 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: suspended | Statement: [Wuhan Open, statusDuringCOVID-19Pandemic, suspended]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusDuringCOVID-19Pandemic
Context triple: [Wuhan Open, statusDuringCOVID-19Pandemic, suspended]
  • A. covid19Impact chosen
    Indicates the effect, consequences, or influence that COVID-19 has on a given entity, condition, or situation.
  • B. stanceOnCOVID-19Measures
    Indicates a subject’s position, attitude, or level of support or opposition toward policies and actions taken in response to COVID-19 (such as restrictions, mandates, or public health measures).
  • C. corona
    Indicates that an entity is related to or characterized by a corona, such as a surrounding halo, crown-like structure, or outer atmospheric layer.
  • D. associatedPandemic
    Indicates a relationship where something (such as an event, condition, or entity) is linked or connected to a specific pandemic.
  • E. worldHealthOrganizationStatus
    Indicates the relationship between an entity and its classification or status as defined by the World Health Organization (WHO), such as recognition, designation, or official standing.
  • 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_69f01d85be388190b669a0e401e2f2c4 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fcf825ca7081909d06b0df33eb33f9 completed May 7, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fcf42160f0819096812a8bf590875e completed May 7, 2026, 8:20 p.m.
Created at: April 28, 2026, 5:03 a.m.