Triple

T7783037
Position Surface form Disambiguated ID Type / Status
Subject VfB Stuttgart E221570 entity
Predicate shortName P43 FINISHED
Object VfB E221570 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: VfB | Statement: [VfB Stuttgart, shortName, VfB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VfB
Context triple: [VfB Stuttgart, shortName, VfB]
  • A. VfB Stuttgart chosen
    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.
  • B. BVB
    BVB is the public transport company that operates much of the tram and bus network in Basel, Switzerland.
  • C. Eintracht Braunschweig
    Eintracht Braunschweig is a historic German sports club best known for its football team, which has competed in the Bundesliga and won the German championship in 1967.
  • D. KFC Uerdingen 05
    KFC Uerdingen 05 is a German football club known for its history in the Bundesliga and domestic cup competitions.
  • E. 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.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1f9c648190ac2b06d0d54035ea completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5e400d881909d6cdeb7eaac3a59 completed March 30, 2026, 10:15 p.m.
Created at: March 30, 2026, 4:22 p.m.