Triple

T7031748
Position Surface form Disambiguated ID Type / Status
Subject Basketball Africa League E163285 entity
Predicate venueRegion P19090 FINISHED
Object various African countries 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: various African countries | Statement: [Basketball Africa League, venueRegion, various African countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: venueRegion
Context triple: [Basketball Africa League, venueRegion, various African countries]
  • A. placeRegion
    Indicates that a place is located within, or is part of, a larger geographic or administrative region.
  • B. campaignRegion
    Indicates the geographic area or territory in which a campaign is conducted or targeted.
  • C. region1
    Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
  • D. homeVenueRegion chosen
    Indicates the geographic region in which an entity’s primary or home venue is located.
  • E. recipientRegion
    Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e458ad9c81908c3f492b317ce291 completed March 27, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69c6e1b9a2488190aea351d96afa5a12 completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:36 p.m.