Triple

T20497865
Position Surface form Disambiguated ID Type / Status
Subject Schwabing E502919 entity
Predicate notableStreet P26446 FINISHED
Object Leopoldstraße
Leopoldstraße is a major boulevard in Munich known for its vibrant cafés, shops, and cultural life, especially in the Schwabing district.
 E1439251 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: Leopoldstraße | Statement: [Schwabing, notableStreet, Leopoldstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leopoldstraße
Context triple: [Schwabing, notableStreet, Leopoldstraße]
  • A. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • B. Rosenbergstraße
    Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • C. Bergmannstraße
    Bergmannstraße is a notable street in Berlin, Germany, known for its lively mix of cafés, shops, and historic sites including the Luisenstädtischer Friedhof cemetery.
  • D. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • E. Niederkirchnerstraße
    Niederkirchnerstraße is a street in central Berlin, Germany, historically associated with Nazi-era government and security offices and now home to memorial sites such as the Topography of Terror.
  • 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: Leopoldstraße
Triple: [Schwabing, notableStreet, Leopoldstraße]
Generated description
Leopoldstraße is a major boulevard in Munich known for its vibrant cafés, shops, and cultural life, especially in the Schwabing district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leopoldstraße
Target entity description: Leopoldstraße is a major boulevard in Munich known for its vibrant cafés, shops, and cultural life, especially in the Schwabing district.
  • A. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • B. Rosenbergstraße
    Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • C. Bergmannstraße
    Bergmannstraße is a notable street in Berlin, Germany, known for its lively mix of cafés, shops, and historic sites including the Luisenstädtischer Friedhof cemetery.
  • D. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • E. Niederkirchnerstraße
    Niederkirchnerstraße is a street in central Berlin, Germany, historically associated with Nazi-era government and security offices and now home to memorial sites such as the Topography of Terror.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbefe4c819098af5bfd4d92341d completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08accee0688190a897ed76719a977d completed May 16, 2026, 5:43 p.m.
NEDg Description generation batch_6a08b08684d08190a3be4564e8b2fec3 completed May 16, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08b172d60881908406e55417617ca9 completed May 16, 2026, 6:03 p.m.
Created at: April 16, 2026, 11:35 a.m.