Triple

T1646837
Position Surface form Disambiguated ID Type / Status
Subject Erling Haaland E35600 entity
Predicate playedFor P2170 FINISHED
Object Borussia Dortmund E190500 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: Borussia Dortmund | Statement: [Erling Haaland, playedFor, Borussia Dortmund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borussia Dortmund
Context triple: [Erling Haaland, playedFor, Borussia Dortmund]
  • A. Borussia Dortmund chosen
    Borussia Dortmund is a major German football club based in Dortmund, renowned for its passionate fanbase, iconic Yellow Wall, and success in the Bundesliga and European competitions.
  • B. Werder Bremen
    Werder Bremen is a German professional football club based in Bremen, known for its long Bundesliga history and multiple national and international titles.
  • C. FC Bayern Munich
    FC Bayern Munich is a German professional football club based in Munich, renowned as one of Europe’s most successful and decorated teams.
  • D. Eintracht Frankfurt
    Eintracht Frankfurt is a professional German football club best known for competing in the Bundesliga and winning multiple domestic and European titles.
  • E. VfL Wolfsburg
    VfL Wolfsburg is a German professional football club based in Wolfsburg, best known for competing in the Bundesliga and winning the league title in 2009.
  • 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_69adeac40c608190800da8b029ef065a completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:28 p.m.