Triple

T15493816
Position Surface form Disambiguated ID Type / Status
Subject Max-Weber-Platz U-Bahn station E378762 entity
Predicate hasStationCode P1289 FINISHED
Object MWP
MWP is the station code for Max-Weber-Platz, a Munich U-Bahn interchange station serving multiple subway lines in the city’s public transport network.
E1161331 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: MWP | Statement: [Max-Weber-Platz U-Bahn station, hasStationCode, MWP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MWP
Context triple: [Max-Weber-Platz U-Bahn station, hasStationCode, MWP]
  • A. MW
    MW is the two-letter ISO 3166-1 alpha-2 country code assigned to Malawi.
  • B. MW
    MW is the commonly used abbreviation for Metro Warszawskie, the company operating the Warsaw Metro system in Poland.
  • C. MW
    MW is the abbreviation for All-Polish Youth, a Polish nationalist youth organization known for its far-right, conservative activism.
  • D. MW
    MW is the vehicle registration code used on license plates for cars registered in the District of Mittelsachsen in Germany.
  • E. MPS
    MPS is the central government agency responsible for public security, policing, and domestic law enforcement in the People's Republic of China.
  • 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: MWP
Triple: [Max-Weber-Platz U-Bahn station, hasStationCode, MWP]
Generated description
MWP is the station code for Max-Weber-Platz, a Munich U-Bahn interchange station serving multiple subway lines in the city’s public transport network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MWP
Target entity description: MWP is the station code for Max-Weber-Platz, a Munich U-Bahn interchange station serving multiple subway lines in the city’s public transport network.
  • A. MW
    MW is the two-letter ISO 3166-1 alpha-2 country code assigned to Malawi.
  • B. MW
    MW is the commonly used abbreviation for Metro Warszawskie, the company operating the Warsaw Metro system in Poland.
  • C. MW
    MW is the abbreviation for All-Polish Youth, a Polish nationalist youth organization known for its far-right, conservative activism.
  • D. MW
    MW is the vehicle registration code used on license plates for cars registered in the District of Mittelsachsen in Germany.
  • E. MPS
    MPS is the central government agency responsible for public security, policing, and domestic law enforcement in the People's Republic of China.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff373558c88190983792d12956886e completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37c1b1e081909662b37eb5a2da1a completed May 9, 2026, 1:33 p.m.
Created at: April 10, 2026, 3:49 a.m.