Triple

T8688269
Position Surface form Disambiguated ID Type / Status
Subject 1860 Munich E206220 entity
Predicate shortName P43 FINISHED
Object TSV 1860 München E118423 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: TSV 1860 München | Statement: [1860 Munich, shortName, TSV 1860 München]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSV 1860 München
Context triple: [1860 Munich, shortName, TSV 1860 München]
  • A. TSV 1860 Munich chosen
    TSV 1860 Munich is a historic German football club from Munich known for its traditional fan base and past success in the Bundesliga.
  • B. MTU München
    MTU München was the original company from which MTU Aero Engines emerged, serving as a key German manufacturer in the aerospace and engine industry.
  • C. 1. FC Nürnberg
    1. FC Nürnberg is a historic German football club based in Nuremberg, known for its multiple national championships and strong traditional fan base.
  • D. Hertha BSC
    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.
  • E. 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.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5731cf08819082e0cbe0975b70bb completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa015416c8190acd737390a7c231a completed April 3, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:33 p.m.