Triple

T5961438
Position Surface form Disambiguated ID Type / Status
Subject Rosenbergstraße campus E132646 entity
Predicate locatedOn P40 FINISHED
Object Rosenbergstraße
Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
 E570101 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: Rosenbergstraße | Statement: [Rosenbergstraße campus, locatedOn, Rosenbergstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rosenbergstraße
Context triple: [Rosenbergstraße campus, locatedOn, Rosenbergstraße]
  • A. 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.
  • B. Siesmayerstraße
    Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
  • C. Grunewaldstraße
    Grunewaldstraße is a notable street in Berlin’s Akazienkiez neighborhood, known for its mix of residential buildings, local shops, and cafés.
  • D. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • E. Herbertstraße
    Herbertstraße is a short, gated street in Hamburg’s St. Pauli district known as one of Germany’s most famous red-light prostitution streets.
  • 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: Rosenbergstraße
Triple: [Rosenbergstraße campus, locatedOn, Rosenbergstraße]
Generated description
Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rosenbergstraße
Target entity description: Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • A. 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.
  • B. Siesmayerstraße
    Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
  • C. Grunewaldstraße
    Grunewaldstraße is a notable street in Berlin’s Akazienkiez neighborhood, known for its mix of residential buildings, local shops, and cafés.
  • D. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • E. Herbertstraße
    Herbertstraße is a short, gated street in Hamburg’s St. Pauli district known as one of Germany’s most famous red-light prostitution streets.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039ff421c819085fc92f0b707d31b completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13557696881909b50c8b72af6878c completed March 23, 2026, 12:43 p.m.
NEDg Description generation batch_69c1362a78548190b3ccbc9089821b40 completed March 23, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69c1368d452c8190bc713c0f508250a8 completed March 23, 2026, 12:48 p.m.
Created at: March 22, 2026, 4:02 p.m.