Triple

T10950963
Position Surface form Disambiguated ID Type / Status
Subject Hamburger SV E258723 entity
Predicate nickName P2937 FINISHED
Object Der HSV E44345 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: Der HSV | Statement: [Hamburger SV, nickName, Der HSV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Der HSV
Context triple: [Hamburger SV, nickName, Der HSV]
  • A. Die Schwarzgelben
    Die Schwarzgelben is a popular nickname for German football club Borussia Dortmund, referencing the team’s iconic black and yellow colors.
  • B. Die Grün-Weißen
    Die Grün-Weißen is the German nickname for SV Werder Bremen, referring to the football club’s traditional green and white team colors.
  • C. Hamburger SV chosen
    Hamburger SV is a historic German football club based in Hamburg, known for its long-standing presence in the Bundesliga and passionate fan base.
  • D. Vorwärts Berlin
    Vorwärts Berlin was a prominent East German football club historically associated with the army, known for competing in top domestic leagues and European competitions during the Cold War era.
  • E. Neues Tor
    Neues Tor is a historic city gate in Neubrandenburg, Germany, forming part of the town’s well-preserved medieval fortifications.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fc156c8190826e124c13ce7242 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c57038c819087671177c2ed5633 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.