Triple

T2372036
Position Surface form Disambiguated ID Type / Status
Subject Aaran Lines E46111 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Hannover 96 E130429 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: Hannover 96 | Statement: [Aaran Lines, memberOfSportsTeam, Hannover 96]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannover 96
Context triple: [Aaran Lines, memberOfSportsTeam, Hannover 96]
  • A. Hannover 96 chosen
    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.
  • B. Hamburger SV
    Hamburger SV is a historic German football club based in Hamburg, known for its long-standing presence in the Bundesliga and passionate fan base.
  • C. Eintracht Frankfurt
    Eintracht Frankfurt is a professional German football club best known for competing in the Bundesliga and winning multiple domestic and European titles.
  • D. KFC Uerdingen 05
    KFC Uerdingen 05 is a German football club known for its history in the Bundesliga and domestic cup competitions.
  • E. 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.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc771302481908540e31abb5aeeba completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3294d88190be67aa4cca72bbb4 completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:56 p.m.