Triple

T3527592
Position Surface form Disambiguated ID Type / Status
Subject Mehringdamm E74577 entity
Predicate locatedOnStreet P959 FINISHED
Object Mehringdamm (street)
Mehringdamm is a major thoroughfare in Berlin’s Kreuzberg district, known for its busy traffic, U-Bahn station, and popular eateries such as the famous Curry 36.
 E74577 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: Mehringdamm (street) | Statement: [Mehringdamm, locatedOnStreet, Mehringdamm (street)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mehringdamm (street)
Context triple: [Mehringdamm, locatedOnStreet, Mehringdamm (street)]
  • A. Mehringdamm
    Mehringdamm is a Berlin U-Bahn station in the Kreuzberg district that serves as an interchange between lines U6 and U7.
  • B. Reinickendorfer Straße
    Reinickendorfer Straße is a Berlin U-Bahn station on line U6 located in the central district of Mitte.
  • C. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • D. Alt-Mariendorf street
    Alt-Mariendorf street is a roadway in the Berlin district of Mariendorf, known for giving its name to the surrounding Alt-Mariendorf area.
  • E. 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.
  • 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: Mehringdamm (street)
Triple: [Mehringdamm, locatedOnStreet, Mehringdamm (street)]
Generated description
Mehringdamm is a major thoroughfare in Berlin’s Kreuzberg district, known for its busy traffic, U-Bahn station, and popular eateries such as the famous Curry 36.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mehringdamm (street)
Target entity description: Mehringdamm is a major thoroughfare in Berlin’s Kreuzberg district, known for its busy traffic, U-Bahn station, and popular eateries such as the famous Curry 36.
  • A. Mehringdamm chosen
    Mehringdamm is a Berlin U-Bahn station in the Kreuzberg district that serves as an interchange between lines U6 and U7.
  • B. Reinickendorfer Straße
    Reinickendorfer Straße is a Berlin U-Bahn station on line U6 located in the central district of Mitte.
  • C. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • D. Alt-Mariendorf street
    Alt-Mariendorf street is a roadway in the Berlin district of Mariendorf, known for giving its name to the surrounding Alt-Mariendorf area.
  • E. 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.
  • F. None of above.

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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6d099c8190b2b1e65a56e52089 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e90e67c81909944bb81d89e039b completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f837d1481908b2773785ca74375 completed March 13, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_69b38329637881908ae4dfa8bb201f9a completed March 13, 2026, 3:23 a.m.
Created at: March 8, 2026, 3:19 p.m.