Triple

T20601712
Position Surface form Disambiguated ID Type / Status
Subject Theresienwiese U-Bahn station E506196 entity
Predicate locatedNear P294 FINISHED
Object Ruppertstraße
Ruppertstraße is a street in Munich, Germany, situated near the Theresienwiese area known for hosting the annual Oktoberfest.
 E1446652 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: Ruppertstraße | Statement: [Theresienwiese U-Bahn station, locatedNear, Ruppertstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruppertstraße
Context triple: [Theresienwiese U-Bahn station, locatedNear, Ruppertstraße]
  • A. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • B. Karmarschstraße
    Karmarschstraße is a central shopping and traffic street in Hanover, Germany, running through the city center near Kröpcke square.
  • C. 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.
  • D. Feilitzschstraße
    Feilitzschstraße is a well-known street in Munich’s Schwabing district, noted for its lively mix of cafés, bars, and cultural venues.
  • E. Güntzelstraße
    Güntzelstraße is a Berlin U-Bahn station on line U9 located in the Wilmersdorf district of the city.
  • 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: Ruppertstraße
Triple: [Theresienwiese U-Bahn station, locatedNear, Ruppertstraße]
Generated description
Ruppertstraße is a street in Munich, Germany, situated near the Theresienwiese area known for hosting the annual Oktoberfest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruppertstraße
Target entity description: Ruppertstraße is a street in Munich, Germany, situated near the Theresienwiese area known for hosting the annual Oktoberfest.
  • A. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • B. Karmarschstraße
    Karmarschstraße is a central shopping and traffic street in Hanover, Germany, running through the city center near Kröpcke square.
  • C. 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.
  • D. Feilitzschstraße
    Feilitzschstraße is a well-known street in Munich’s Schwabing district, noted for its lively mix of cafés, bars, and cultural venues.
  • E. Güntzelstraße
    Güntzelstraße is a Berlin U-Bahn station on line U9 located in the Wilmersdorf district of the city.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1ffd088190adeacb9fe4907530 completed April 20, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08e03ece3c819082903861a63e21a7 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e0e44be8819081e3ee727887802e completed May 16, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_6a08e18faf24819092098e3b74a418e1 completed May 16, 2026, 9:28 p.m.
Created at: April 16, 2026, 11:41 a.m.