Triple

T11467261
Position Surface form Disambiguated ID Type / Status
Subject Olympiazentrum station E271809 entity
Predicate serves P98 FINISHED
Object BMW Welt E117563 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: BMW Welt | Statement: [Olympiazentrum station, serves, BMW Welt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW Welt
Context triple: [Olympiazentrum station, serves, BMW Welt]
  • A. BMW Welt chosen
    BMW Welt is a futuristic multi-use exhibition, delivery, and event center in Munich that showcases BMW Group vehicles and technology.
  • B. BMW
    BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
  • C. BMW Headquarters
    BMW Headquarters is the iconic, cylinder-shaped main office building of the German automobile manufacturer BMW located in Munich, Germany.
  • D. BMW production network
    The BMW production network is the global system of manufacturing plants and facilities through which BMW designs, builds, and assembles its vehicles and components worldwide.
  • E. BMWK
    BMWK is the German Federal Ministry responsible for economic policy and climate action at the national level.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9429a308190810b485708d28617 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.