Triple

T2971029
Position Surface form Disambiguated ID Type / Status
Subject Rämistrasse campus E80279 entity
Predicate locatedOn P40 FINISHED
Object Rämistrasse
Rämistrasse is a major street in central Zurich, Switzerland, known for hosting key university buildings and cultural institutions.
 E314336 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: Rämistrasse | Statement: [Rämistrasse campus, locatedOn, Rämistrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rämistrasse
Context triple: [Rämistrasse campus, locatedOn, Rämistrasse]
  • A. Breite Straße
    Breite Straße is a historic main street in the medieval town of Goslar, Germany, known for its traditional half-timbered houses and central role in the old town.
  • B. Brückenstraße
    Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
  • C. Mühlenstrasse
    Mühlenstrasse is a street in Berlin, Germany, best known for running alongside the East Side Gallery, the longest remaining section of the Berlin Wall.
  • D. Zimmerstraße
    Zimmerstraße is a street in central Berlin, Germany, historically significant for running along the former Berlin Wall and passing by the famous Checkpoint Charlie border crossing.
  • E. Seestraße
    Seestraße is a Berlin U-Bahn station on the U6 line located in the Wedding district of the city.
  • 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: Rämistrasse
Triple: [Rämistrasse campus, locatedOn, Rämistrasse]
Generated description
Rämistrasse is a major street in central Zurich, Switzerland, known for hosting key university buildings and cultural institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rämistrasse
Target entity description: Rämistrasse is a major street in central Zurich, Switzerland, known for hosting key university buildings and cultural institutions.
  • A. Breite Straße
    Breite Straße is a historic main street in the medieval town of Goslar, Germany, known for its traditional half-timbered houses and central role in the old town.
  • B. Brückenstraße
    Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
  • C. Mühlenstrasse
    Mühlenstrasse is a street in Berlin, Germany, best known for running alongside the East Side Gallery, the longest remaining section of the Berlin Wall.
  • D. Zimmerstraße
    Zimmerstraße is a street in central Berlin, Germany, historically significant for running along the former Berlin Wall and passing by the famous Checkpoint Charlie border crossing.
  • E. Seestraße
    Seestraße is a Berlin U-Bahn station on the U6 line located in the Wedding district of the city.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9973ed6881908f11f49ca2e171df completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fca6491c81909edaf6f495f17761 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b1006c3ee48190b17b8216a8b700c9 completed March 11, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69b100dd4f108190b39926534096d6c7 completed March 11, 2026, 5:42 a.m.
Created at: March 8, 2026, 2:58 p.m.