Triple

T1739532
Position Surface form Disambiguated ID Type / Status
Subject Leipzig E38199 entity
Predicate hasSportsTeam P330 FINISHED
Object RB Leipzig E171378 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: RB Leipzig | Statement: [Leipzig, hasSportsTeam, RB Leipzig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RB Leipzig
Context triple: [Leipzig, hasSportsTeam, RB Leipzig]
  • A. RB Leipzig chosen
    RB Leipzig is a professional German football club based in Leipzig that rapidly rose through the league system to become a top contender in the Bundesliga and European competitions.
  • B. Red Bull Salzburg
    Red Bull Salzburg is a professional Austrian football club known for its dominance in the Austrian Bundesliga and regular participation in European competitions.
  • C. Hannover 96
    Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
  • D. SpVgg Greuther Fürth
    SpVgg Greuther Fürth is a German professional football club from Fürth, Bavaria, known for its historic success in the early 20th century and participation in the Bundesliga.
  • E. Borussia Dortmund
    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.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c4639c81908b91b2559f0c6a5c completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b060d64819096ba0522ccce9145 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.