Triple

T5701997
Position Surface form Disambiguated ID Type / Status
Subject Museumstrasse station area E125685 entity
Predicate locatedUnder P10157 FINISHED
Object Museumstrasse
Museumstrasse is a street that lends its name to the surrounding station area, likely serving as a notable local thoroughfare or landmark.
 E542984 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: Museumstrasse | Statement: [Museumstrasse station area, locatedUnder, Museumstrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Museumstrasse
Context triple: [Museumstrasse station area, locatedUnder, Museumstrasse]
  • A. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • B. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • C. Prinzenstraße
    Prinzenstraße is a Berlin U-Bahn station on line U1 located in the Kreuzberg district.
  • D. Kaufingerstraße
    Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
  • E. Hirzelstrasse
    Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
  • 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: Museumstrasse
Triple: [Museumstrasse station area, locatedUnder, Museumstrasse]
Generated description
Museumstrasse is a street that lends its name to the surrounding station area, likely serving as a notable local thoroughfare or landmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Museumstrasse
Target entity description: Museumstrasse is a street that lends its name to the surrounding station area, likely serving as a notable local thoroughfare or landmark.
  • A. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • B. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • C. Prinzenstraße
    Prinzenstraße is a Berlin U-Bahn station on line U1 located in the Kreuzberg district.
  • D. Kaufingerstraße
    Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
  • E. Hirzelstrasse
    Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0245581988190a819b8137533ed31 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07de28424819090ff1f4a4b6cc9c0 completed March 22, 2026, 11:40 p.m.
NEDg Description generation batch_69c08bce3e808190af4e2f0e8591b2de completed March 23, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_69c08c6d1a788190acb7651a1f144d9d completed March 23, 2026, 12:42 a.m.
Created at: March 22, 2026, 3:45 p.m.