Triple

T20748108
Position Surface form Disambiguated ID Type / Status
Subject Poccistraße U-Bahn station E510641 entity
Predicate namedAfter P63 FINISHED
Object Poccistraße
Poccistraße is a street in Munich, Germany, located in the city’s central area and serving as the namesake for the nearby U-Bahn station.
E1452784 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: Poccistraße | Statement: [Poccistraße U-Bahn station, namedAfter, Poccistraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poccistraße
Context triple: [Poccistraße U-Bahn station, namedAfter, Poccistraße]
  • A. Sambesistraße
    Sambesistraße is a street in Berlin’s Afrikanisches Viertel, a neighborhood known for roads named after African regions, rivers, and countries.
  • B. Taubenstraße
    Taubenstraße is a street in Hamburg, Germany, located in the St. Pauli district near the Reeperbahn and the Spielbudenplatz entertainment area.
  • C. Papestraße
    Papestraße was the former name of the Berlin Südkreuz railway station, a major transport hub in southern Berlin.
  • D. Ruppertstraße
    Ruppertstraße is a street in Munich, Germany, situated near the Theresienwiese area known for hosting the annual Oktoberfest.
  • E. Feilitzschstraße
    Feilitzschstraße is a well-known street in Munich’s Schwabing district, noted for its lively mix of cafés, bars, and cultural venues.
  • 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: Poccistraße
Triple: [Poccistraße U-Bahn station, namedAfter, Poccistraße]
Generated description
Poccistraße is a street in Munich, Germany, located in the city’s central area and serving as the namesake for the nearby U-Bahn station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Poccistraße
Target entity description: Poccistraße is a street in Munich, Germany, located in the city’s central area and serving as the namesake for the nearby U-Bahn station.
  • A. Sambesistraße
    Sambesistraße is a street in Berlin’s Afrikanisches Viertel, a neighborhood known for roads named after African regions, rivers, and countries.
  • B. Taubenstraße
    Taubenstraße is a street in Hamburg, Germany, located in the St. Pauli district near the Reeperbahn and the Spielbudenplatz entertainment area.
  • C. Papestraße
    Papestraße was the former name of the Berlin Südkreuz railway station, a major transport hub in southern Berlin.
  • D. Ruppertstraße
    Ruppertstraße is a street in Munich, Germany, situated near the Theresienwiese area known for hosting the annual Oktoberfest.
  • E. Feilitzschstraße
    Feilitzschstraße is a well-known street in Munich’s Schwabing district, noted for its lively mix of cafés, bars, and cultural venues.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09006328588190b9d492848a377c54 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a09011902f08190901eb097566807bd completed May 16, 2026, 11:43 p.m.
NED2 Entity disambiguation (via description) batch_6a090214d16c8190a3f4bf2211c9ef10 completed May 16, 2026, 11:47 p.m.
Created at: April 16, 2026, 12:33 p.m.