Triple

T10950964
Position Surface form Disambiguated ID Type / Status
Subject Hamburger SV E258723 entity
Predicate nickName P2937 FINISHED
Object Die Rothosen E258724 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: Die Rothosen | Statement: [Hamburger SV, nickName, Die Rothosen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Die Rothosen
Context triple: [Hamburger SV, nickName, Die Rothosen]
  • A. Die Rothosen chosen
    Die Rothosen is the traditional German football club Hamburger SV’s nickname, referring to the team’s iconic red shorts and kit colors.
  • B. Die Rättin
    Die Rättin is a dystopian novel by German author Günter Grass that portrays an apocalyptic future through the allegorical perspective of a talking rat.
  • C. Die Roten
    Die Roten is the German nickname for VfB Stuttgart, a professional football club known for its red home colors and success in the Bundesliga.
  • D. Die Roten
    Die Roten is the German nickname for Hannover 96, a professional football club based in Hanover that traditionally plays in red.
  • E. Östliche Rosen
    Östliche Rosen is a collection of lyrical poems by Friedrich Rückert inspired by Eastern, particularly Persian and Arabic, poetic traditions.
  • 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.