Triple

T9410169
Position Surface form Disambiguated ID Type / Status
Subject Stadtwerke München E226683 entity
Predicate abbreviation P43 FINISHED
Object SWM
SWM is the municipal utility company of Munich, Germany, responsible for providing services such as energy, water, and public transportation.
E797967 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: SWM | Statement: [Stadtwerke München, abbreviation, SWM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWM
Context triple: [Stadtwerke München, abbreviation, SWM]
  • A. SWC
    SWC is the acronym for the South Western Command of the Indian Army, a major operational command responsible for defense and military operations in India’s western sector.
  • B. SWC
    SWC is the abbreviation for the Southwest Conference, a former NCAA Division I college athletic conference that primarily featured schools from Texas and the surrounding region.
  • C. SMO
    SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
  • D. SMWK
    SMWK is the abbreviation for the Saxon State Ministry responsible for science, culture, and tourism in the German state of Saxony.
  • E. SWI
    SWI is the National Rail station code for Swindon railway station in Wiltshire, England.
  • 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: SWM
Triple: [Stadtwerke München, abbreviation, SWM]
Generated description
SWM is the municipal utility company of Munich, Germany, responsible for providing services such as energy, water, and public transportation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SWM
Target entity description: SWM is the municipal utility company of Munich, Germany, responsible for providing services such as energy, water, and public transportation.
  • A. SWC
    SWC is the acronym for the South Western Command of the Indian Army, a major operational command responsible for defense and military operations in India’s western sector.
  • B. SWC
    SWC is the abbreviation for the Southwest Conference, a former NCAA Division I college athletic conference that primarily featured schools from Texas and the surrounding region.
  • C. SMO
    SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
  • D. SMWK
    SMWK is the abbreviation for the Saxon State Ministry responsible for science, culture, and tourism in the German state of Saxony.
  • E. SWI
    SWI is the National Rail station code for Swindon railway station in Wiltshire, England.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5255e4fc81908bf2f69c9a12ef83 completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107a5fcc081909a2d743e9673fe9e completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1083039948190b32f8854b31f53c2 completed April 4, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d108dbc1948190967c56ad877659cb completed April 4, 2026, 12:49 p.m.
Created at: March 30, 2026, 7:47 p.m.