Triple

T6060801
Position Surface form Disambiguated ID Type / Status
Subject Meitei people E135026 entity
Predicate sportsContribution P17882 FINISHED
Object pioneers of modern polo through Sagol Kangjei 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: pioneers of modern polo through Sagol Kangjei | Statement: [Meitei people, sportsContribution, pioneers of modern polo through Sagol Kangjei]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sportsContribution
Context triple: [Meitei people, sportsContribution, pioneers of modern polo through Sagol Kangjei]
  • A. sportsAndRecreation
    Indicates a relationship where an entity is associated with, involved in, or designated for sports or recreational activities.
  • B. sportFocus
    Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
  • C. sportsInvolvement chosen
    Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
  • D. sportsCount
    Indicates the number of sports associated with or involved in a given entity or context.
  • E. popularSport
    Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0571fcecc8190a68e0d0668bbbfa7 completed March 22, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69c049f031408190b08b2766237c5dd0 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:10 p.m.