Triple

T13275626
Position Surface form Disambiguated ID Type / Status
Subject Wimbledon men's wheelchair singles 2016 E316180 entity
Predicate hasEventScope P397 FINISHED
Object international 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: international | Statement: [Wimbledon men's wheelchair singles 2016, hasEventScope, international]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEventScope
Context triple: [Wimbledon men's wheelchair singles 2016, hasEventScope, international]
  • A. hasEventSpace
    Indicates that an entity provides or includes a designated space intended for hosting events.
  • B. hasScope chosen
    Indicates that one entity defines, limits, or encompasses the range, extent, or applicability within which another entity operates or is valid.
  • C. hasBroadcastScope
    Indicates that a broadcast is intended to reach a specified scope or range of recipients, areas, or contexts.
  • D. hasSubEvent
    Indicates that an event is composed of, or includes as part of its structure, another event that occurs within it.
  • E. hasDeterminingEvent
    Indicates that one event or occurrence serves as the decisive cause, condition, or basis that determines another situation, outcome, or state.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f6535688190a5a4549b7be2d611 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:26 p.m.