Triple

T1646861
Position Surface form Disambiguated ID Type / Status
Subject Erling Haaland E35600 entity
Predicate youthClub P1088 FINISHED
Object Bryne FK E185634 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: Bryne FK | Statement: [Erling Haaland, youthClub, Bryne FK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryne FK
Context triple: [Erling Haaland, youthClub, Bryne FK]
  • A. Bryne FK chosen
    Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
  • B. Lillestrøm SK
    Lillestrøm SK is a Norwegian professional football club known for its passionate fan base, historic success in domestic competitions, and intense rivalry with other Oslo-area teams.
  • C. Stabæk Fotball
    Stabæk Fotball is a Norwegian professional football club based in Bærum, known for competing in the country’s top divisions and developing notable players and coaches.
  • D. Vålerenga
    Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
  • E. Molde FK
    Molde FK is a Norwegian professional football club based in Molde, known as one of the country’s top teams and a key stepping stone in Erling Haaland’s early career.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a62b26c8190bf97bb80c228b47e completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a8c22c8190b7f2883dfbd1403f completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:28 p.m.