Triple

T15346913
Position Surface form Disambiguated ID Type / Status
Subject Leipziger Straße E366945 entity
Predicate hasAdjacent P5707 FINISHED
Object Mauerstraße
Mauerstraße is a street in central Berlin, Germany, historically notable for running along the former course of the Berlin Wall near key government and commercial areas.
 E1212086 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: Mauerstraße | Statement: [Leipziger Straße, hasAdjacent, Mauerstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mauerstraße
Context triple: [Leipziger Straße, hasAdjacent, Mauerstraße]
  • 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. 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.
  • C. Eichhornstraße
    Eichhornstraße is a street in central Berlin, Germany, located near Leipziger Platz in the city’s historic and commercial district.
  • D. Rosenbergstraße
    Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • E. Mohrenstraße
    Mohrenstraße is a street in central Berlin, Germany, known for its historical significance and its location near major government and cultural 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: Mauerstraße
Triple: [Leipziger Straße, hasAdjacent, Mauerstraße]
Generated description
Mauerstraße is a street in central Berlin, Germany, historically notable for running along the former course of the Berlin Wall near key government and commercial areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mauerstraße
Target entity description: Mauerstraße is a street in central Berlin, Germany, historically notable for running along the former course of the Berlin Wall near key government and commercial areas.
  • 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. 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.
  • C. Eichhornstraße
    Eichhornstraße is a street in central Berlin, Germany, located near Leipziger Platz in the city’s historic and commercial district.
  • D. Rosenbergstraße
    Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • E. Mohrenstraße
    Mohrenstraße is a street in central Berlin, Germany, known for its historical significance and its location near major government and cultural 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4303888190a93830ef534715ae completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003ec3c3c481909f2ad743b3cb486e completed May 10, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a003f300e688190a12352fef2f801f9 completed May 10, 2026, 8:17 a.m.
Created at: April 10, 2026, 3:17 a.m.