Triple

T23081378
Position Surface form Disambiguated ID Type / Status
Subject Langenbruck E575481 entity
Predicate hasTransportConnection P845 FINISHED
Object Passwangstrasse
Passwangstrasse is a Swiss mountain road and pass route in the Jura region, providing a key connection between communities such as Langenbruck.
E1579378 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: Passwangstrasse | Statement: [Langenbruck, hasTransportConnection, Passwangstrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passwangstrasse
Context triple: [Langenbruck, hasTransportConnection, Passwangstrasse]
  • A. Niederdorfstrasse
    Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
  • B. 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.
  • C. Schützenstrasse
    Schützenstrasse is a street in Berlin, Germany, known for its central urban location and characteristic city architecture.
  • D. Hirzelstrasse
    Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
  • E. Rosengartenstrasse
    Rosengartenstrasse is a major urban road in Zurich, Switzerland, serving as a key traffic artery and connection point within the city’s transport network.
  • 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: Passwangstrasse
Triple: [Langenbruck, hasTransportConnection, Passwangstrasse]
Generated description
Passwangstrasse is a Swiss mountain road and pass route in the Jura region, providing a key connection between communities such as Langenbruck.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Passwangstrasse
Target entity description: Passwangstrasse is a Swiss mountain road and pass route in the Jura region, providing a key connection between communities such as Langenbruck.
  • A. Niederdorfstrasse
    Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
  • B. 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.
  • C. Schützenstrasse
    Schützenstrasse is a street in Berlin, Germany, known for its central urban location and characteristic city architecture.
  • D. Hirzelstrasse
    Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
  • E. Rosengartenstrasse
    Rosengartenstrasse is a major urban road in Zurich, Switzerland, serving as a key traffic artery and connection point within the city’s transport network.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c67e06881908d24d6267bb49553 completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c6940608190b6708bd52c07cff6 completed May 19, 2026, 11:41 a.m.
NEDg Description generation batch_6a0c4e669b6481909f198d1c51b68bf3 completed May 19, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4f011a188190b801f2ae0f134356 completed May 19, 2026, 11:52 a.m.
Created at: April 17, 2026, 3:56 p.m.