Triple

T36243798
Position Surface form Disambiguated ID Type / Status
Subject Wimbledon mixed doubles E891598 entity
Predicate bestOfSets P185392 FINISHED
Object three 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: three | Statement: [Wimbledon mixed doubles, bestOfSets, three]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bestOfSets
Context triple: [Wimbledon mixed doubles, bestOfSets, three]
  • A. bestOf
    Indicates that one entity is the top-ranked or most outstanding member within a specified group, set, or collection.
  • B. bestOfSeries
    Indicates that one entity is the winner or top performer within a defined series or set of related items or events.
  • C. bestOnBest
    Indicates that the relationship or action occurs under conditions where each side is using its strongest or highest-performing option against the other's strongest or highest-performing option.
  • D. bestKnownSingle
    Indicates that the referenced item is the most prominent or widely recognized single associated with an entity (such as an artist or group).
  • E. holdsBestFor
    Indicates that one entity considers or maintains another entity as the most suitable or optimal choice for a particular purpose or context.
  • F. None of above. chosen

Provenance (4 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_69f76e44993481908fa75e4c48d0aab3 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bcccd7988190aa5c931ff347d33c completed May 3, 2026, 9:23 p.m.
PDg Predicate description generation batch_69f7be9b9ab481908328e0e8d8ac73d4 completed May 3, 2026, 9:31 p.m.
Created at: May 3, 2026, 4:09 p.m.