Triple

T11278627
Position Surface form Disambiguated ID Type / Status
Subject Hertha BSC E267002 entity
Predicate originalName P65 FINISHED
Object Hertha BFC E267002 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: Hertha BFC | Statement: [Hertha BSC, originalName, Hertha BFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hertha BFC
Context triple: [Hertha BSC, originalName, Hertha BFC]
  • A. Hertha BSC chosen
    Hertha BSC is a professional football club from Berlin, Germany, that competes in the German league system and is one of the country’s oldest and most historic teams.
  • B. Eintracht Frankfurt
    Eintracht Frankfurt is a professional German football club best known for competing in the Bundesliga and winning multiple domestic and European titles.
  • 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. VfB Stuttgart
    VfB Stuttgart is a prominent German professional football club based in Stuttgart that competes in the Bundesliga and has a history of multiple national championships.
  • E. 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.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e967ebb4819080b09ed3cec44e77 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603a1acc08190816db1ff13708e79 completed April 20, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:31 p.m.