Triple

T11467267
Position Surface form Disambiguated ID Type / Status
Subject Olympiazentrum station E271809 entity
Predicate operator P179 FINISHED
Object MVG
MVG is the public transport company that operates Munich’s network of buses, trams, and U-Bahn services.
 E928093 NE FINISHED

How this triple was built (4 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: MVG | Statement: [Olympiazentrum station, operator, MVG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MVG
Context triple: [Olympiazentrum station, operator, MVG]
  • A. MVO
    MVO is a post-nominal honorific indicating appointment as a Member of the Royal Victorian Order, a dynastic order of knighthood recognizing distinguished personal service to the British monarch.
  • B. MVE
    MVE is the station code for Mount Vernon East, a Metro-North Railroad commuter rail station in Mount Vernon, New York.
  • C. MIV
    MIV is a specialized market segment of Borsa Italiana dedicated to the listing and trading of investment vehicles such as closed-end funds and investment companies.
  • D. MGKV
    MGKV is the abbreviated name of Mahatma Gandhi Kashi Vidyapith, a public university located in Varanasi, Uttar Pradesh, India.
  • E. MZG
    MZG is the IATA airport code for Penghu Airport, which serves the Penghu (Pescadores) archipelago in Taiwan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MVG
Triple: [Olympiazentrum station, operator, MVG]
Generated description
MVG is the public transport company that operates Munich’s network of buses, trams, and U-Bahn services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MVG
Target entity description: MVG is the public transport company that operates Munich’s network of buses, trams, and U-Bahn services.
  • A. MVO
    MVO is a post-nominal honorific indicating appointment as a Member of the Royal Victorian Order, a dynastic order of knighthood recognizing distinguished personal service to the British monarch.
  • B. MVE
    MVE is the station code for Mount Vernon East, a Metro-North Railroad commuter rail station in Mount Vernon, New York.
  • C. MIV
    MIV is a specialized market segment of Borsa Italiana dedicated to the listing and trading of investment vehicles such as closed-end funds and investment companies.
  • D. MGKV
    MGKV is the abbreviated name of Mahatma Gandhi Kashi Vidyapith, a public university located in Varanasi, Uttar Pradesh, India.
  • E. MZG
    MZG is the IATA airport code for Penghu Airport, which serves the Penghu (Pescadores) archipelago in Taiwan.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69e5f1593c2c8190885f80ad5eeba3ec completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f87bbd988190ac388a3c34b2e95a completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.