Triple

T181281
Position Surface form Disambiguated ID Type / Status
Subject Manchester 2002 Ltd E3881 entity
Predicate sportEventType P6316 FINISHED
Object multi-sport event organising body 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: multi-sport event organising body | Statement: [Manchester 2002 Ltd, sportEventType, multi-sport event organising body]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sportEventType
Context triple: [Manchester 2002 Ltd, sportEventType, multi-sport event organising body]
  • A. sportCategory
    Indicates that one entity is classified as a type or category of sport to which the other entity (typically a specific sport or sporting event) belongs.
  • B. sportsAssociation
    Indicates a formal relationship in which an entity is affiliated with, governed by, or participates under the auspices of a specific sports organization or governing body.
  • C. sportsRegionOf
    Indicates that a region is the geographic or administrative area associated with a particular sports entity or activity.
  • D. popularSport
    Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
  • E. stateSport
    Indicates that a particular sport is officially associated with, designated by, or representative of a given state.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25923507c8190bd7f6eda404b0da0 completed Feb. 28, 2026, 2:55 a.m.
PD Predicate disambiguation batch_69a2566ccc288190add5624ede96d82b completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2575e7c7c819095167d8a862c255a completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 2:40 a.m.