Triple

T19603313
Position Surface form Disambiguated ID Type / Status
Subject Brittany Matthews E470537 entity
Predicate playedFor P2170 FINISHED
Object UMF Afturelding NE NERFINISHED

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: UMF Afturelding | Statement: [Brittany Matthews, playedFor, UMF Afturelding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMF Afturelding
Context triple: [Brittany Matthews, playedFor, UMF Afturelding]
  • A. UMF Afturelding chosen
    UMF Afturelding is an Icelandic sports club best known internationally for its women's football team, which has featured American player Brittany Mahomes (née Matthews).
  • B. Uddel
    Uddel is a village in the Dutch province of Gelderland, situated on the Veluwe and known for its rural character and surrounding forests and heathlands.
  • C. Urft
    Urft is a river in western Germany that flows through the Eifel region and feeds into the Rur (Roer) River.
  • D. Udelnaya
    Udelnaya is a residential neighborhood and railway station area in the northern part of Saint Petersburg, Russia.
  • E. Upleta
    Upleta is a town and municipality in the Rajkot district of Gujarat, India, known for its agricultural markets and regional trade.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64080a57c8190837cbe82b93163bf completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.