Triple

T16482847
Position Surface form Disambiguated ID Type / Status
Subject Unterstrass E400364 entity
Predicate borders P224 FINISHED
Object Oberstrass
Oberstrass is a district of the city of Zurich, Switzerland, known for its residential character and proximity to the city center.
 E1216999 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: Oberstrass | Statement: [Unterstrass, borders, Oberstrass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oberstrass
Context triple: [Unterstrass, borders, Oberstrass]
  • A. Reitschulgasse
    Reitschulgasse is a historic street in central Vienna, Austria, located near the Hofburg Palace and the Michaelerplatz.
  • B. Nachtigalplatz
    Nachtigalplatz is a public square in Berlin’s Afrikanisches Viertel, known for its controversial colonial-era namesake and its role in debates over decolonizing urban toponymy.
  • C. Schubertring
    Schubertring is a section of Vienna’s historic Ringstrasse boulevard, known for its elegant 19th-century architecture and proximity to major cultural landmarks.
  • D. Kaulbachplatz
    Kaulbachplatz is an underground station on Munich’s U-Bahn network, serving the U3 line in the Schwabing district.
  • E. Kochergasse
    Kochergasse is a central street in Bern, Switzerland, situated in the government district close to the Federal Palace and other key federal institutions.
  • 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: Oberstrass
Triple: [Unterstrass, borders, Oberstrass]
Generated description
Oberstrass is a district of the city of Zurich, Switzerland, known for its residential character and proximity to the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oberstrass
Target entity description: Oberstrass is a district of the city of Zurich, Switzerland, known for its residential character and proximity to the city center.
  • A. Reitschulgasse
    Reitschulgasse is a historic street in central Vienna, Austria, located near the Hofburg Palace and the Michaelerplatz.
  • B. Nachtigalplatz
    Nachtigalplatz is a public square in Berlin’s Afrikanisches Viertel, known for its controversial colonial-era namesake and its role in debates over decolonizing urban toponymy.
  • C. Schubertring
    Schubertring is a section of Vienna’s historic Ringstrasse boulevard, known for its elegant 19th-century architecture and proximity to major cultural landmarks.
  • D. Kaulbachplatz
    Kaulbachplatz is an underground station on Munich’s U-Bahn network, serving the U3 line in the Schwabing district.
  • E. Kochergasse
    Kochergasse is a central street in Bern, Switzerland, situated in the government district close to the Federal Palace and other key federal institutions.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e03643881908b16ddb9004af5d0 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005820790c819088d953eeea09328d completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059126e588190b531c145f3c155b4 completed May 10, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0059b5a1f8819089caefc121246739 completed May 10, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:13 a.m.