Triple

T32980163
Position Surface form Disambiguated ID Type / Status
Subject Tan Boon Heong E843773 entity
Predicate hasCompetedFor P32080 FINISHED
Object Badminton Association of Malaysia E804396 NE 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: Badminton Association of Malaysia | Statement: [Tan Boon Heong, hasCompetedFor, Badminton Association of Malaysia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCompetedFor
Context triple: [Tan Boon Heong, hasCompetedFor, Badminton Association of Malaysia]
  • A. previouslyCompetedAsPartOf
    Indicates that an entity once participated in a competition or event as a member or component of another entity, but no longer does so.
  • B. competedAs
    Indicates that an entity participated in a competition or contest in the role, category, or capacity specified by another entity.
  • C. regionCompetedIn
    Indicates the geographic region or area where an entity participated in a competition or contest.
  • D. competedFor chosen
    Indicates that an entity took part in a contest, rivalry, or competition in pursuit of another entity (such as a prize, position, or resource).
  • E. hasCompetition
    Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
  • F. None of above.

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_69f3494c6f9c8190a255409fce8b1d3b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34e5008c3081908d67380c35e2a6f0 completed June 19, 2026, 6:43 a.m.
PD Predicate disambiguation batch_6a0379f0cbe481909b4b8fc6cbe297f0 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:22 a.m.