Triple

T37328411
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Agnew E926671 entity
Predicate hasPartInWikipediaCategory P197170 FINISHED
Object English cricketers 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: English cricketers | Statement: [Jonathan Agnew, hasPartInWikipediaCategory, English cricketers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPartInWikipediaCategory
Context triple: [Jonathan Agnew, hasPartInWikipediaCategory, English cricketers]
  • A. hasCategoryOnWikipedia chosen
    Indicates that an entity is associated with a specific category on Wikipedia, grouping it under that thematic or organizational label.
  • B. WikimediaTopic
    Indicates that something is associated with, categorized under, or identified as a topic within the Wikimedia ecosystem (such as Wikipedia, Wikidata, or related projects).
  • C. canonicalCategory
    Indicates that an entity is assigned to its primary or standard category within a classification system.
  • D. isClassifiedUnder
    Indicates that one entity is categorized or grouped within a broader class, type, or category represented by another entity.
  • E. hasPartIn
    Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
  • 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_69f76eb386d88190a8d511aa11540dfc completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a004fd3caf48190b2ec063a7bf0756b completed May 10, 2026, 9:28 a.m.
PD Predicate disambiguation batch_6a004f7672dc8190aca91d1ed855bf9a completed May 10, 2026, 9:27 a.m.
Created at: May 3, 2026, 4:16 p.m.