Triple

T9161588
Position Surface form Disambiguated ID Type / Status
Subject Moltkebrücke E219836 entity
Predicate connects P390 FINISHED
Object Paulstraße
Paulstraße is a street in Berlin, Germany, located near the Spree River and key landmarks such as the Moltkebrücke and the government district.
 E781367 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: Paulstraße | Statement: [Moltkebrücke, connects, Paulstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paulstraße
Context triple: [Moltkebrücke, connects, Paulstraße]
  • A. Friedrichstraße
    Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
  • B. Papestraße
    Papestraße was the former name of the Berlin Südkreuz railway station, a major transport hub in southern Berlin.
  • C. Perusastraße
    Perusastraße is a street in central Munich, Germany, located near Odeonsplatz in the historic city center.
  • D. 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.
  • E. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • 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: Paulstraße
Triple: [Moltkebrücke, connects, Paulstraße]
Generated description
Paulstraße is a street in Berlin, Germany, located near the Spree River and key landmarks such as the Moltkebrücke and the government district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paulstraße
Target entity description: Paulstraße is a street in Berlin, Germany, located near the Spree River and key landmarks such as the Moltkebrücke and the government district.
  • A. Friedrichstraße
    Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
  • B. Papestraße
    Papestraße was the former name of the Berlin Südkreuz railway station, a major transport hub in southern Berlin.
  • C. Perusastraße
    Perusastraße is a street in central Munich, Germany, located near Odeonsplatz in the historic city center.
  • D. 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.
  • E. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ac0508190b2f5c801c2c26d66 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054770a0c819095cf0a7cc8d1a057 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d0551895e48190bf1a4754bb5ab94c completed April 4, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69d055b23f8c8190973832f60402c703 completed April 4, 2026, 12:05 a.m.
Created at: March 30, 2026, 7:21 p.m.