Triple

T13205037
Position Surface form Disambiguated ID Type / Status
Subject Old Town of Zurich E314337 entity
Predicate contains P35 FINISHED
Object Niederdorfstrasse
Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
E1036882 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: Niederdorfstrasse | Statement: [Old Town of Zurich, contains, Niederdorfstrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niederdorfstrasse
Context triple: [Old Town of Zurich, contains, Niederdorfstrasse]
  • A. 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.
  • B. Hirzelstrasse
    Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
  • C. Schweizer Straße
    Schweizer Straße is a prominent street in Frankfurt am Main, Germany, known for its shops, cafes, and role as a key thoroughfare in the Sachsenhausen 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. Rathausstraße
    Rathausstraße is a central street in Berlin’s Mitte district, known for running past the historic Rotes Rathaus (Berlin City Hall) near Alexanderplatz.
  • 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: Niederdorfstrasse
Triple: [Old Town of Zurich, contains, Niederdorfstrasse]
Generated description
Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Niederdorfstrasse
Target entity description: Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
  • A. 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.
  • B. Hirzelstrasse
    Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
  • C. Schweizer Straße
    Schweizer Straße is a prominent street in Frankfurt am Main, Germany, known for its shops, cafes, and role as a key thoroughfare in the Sachsenhausen 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. Rathausstraße
    Rathausstraße is a central street in Berlin’s Mitte district, known for running past the historic Rotes Rathaus (Berlin City Hall) near Alexanderplatz.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9b0cf08190a1d71cc94139539d completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72662a7088190b0aacc47b37390f4 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727de9bf08190a24182c3c2a12f8a completed May 3, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_69f72884f5548190895608f9fcadf295 completed May 3, 2026, 10:50 a.m.
Created at: April 9, 2026, 9:17 p.m.