Triple

T20497867
Position Surface form Disambiguated ID Type / Status
Subject Schwabing E502919 entity
Predicate notableStreet P26446 FINISHED
Object Feilitzschstraße
Feilitzschstraße is a well-known street in Munich’s Schwabing district, noted for its lively mix of cafés, bars, and cultural venues.
E1441677 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: Feilitzschstraße | Statement: [Schwabing, notableStreet, Feilitzschstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feilitzschstraße
Context triple: [Schwabing, notableStreet, Feilitzschstraße]
  • A. Kaufingerstraße
    Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
  • B. Karmarschstraße
    Karmarschstraße is a central shopping and traffic street in Hanover, Germany, running through the city center near Kröpcke square.
  • C. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • D. Beusselstraße
    Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
  • E. Scharnweberstraße
    Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north 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: Feilitzschstraße
Triple: [Schwabing, notableStreet, Feilitzschstraße]
Generated description
Feilitzschstraße is a well-known street in Munich’s Schwabing district, noted for its lively mix of cafés, bars, and cultural venues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Feilitzschstraße
Target entity description: Feilitzschstraße is a well-known street in Munich’s Schwabing district, noted for its lively mix of cafés, bars, and cultural venues.
  • A. Kaufingerstraße
    Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
  • B. Karmarschstraße
    Karmarschstraße is a central shopping and traffic street in Hanover, Germany, running through the city center near Kröpcke square.
  • C. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • D. Beusselstraße
    Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
  • E. Scharnweberstraße
    Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbefe4c819098af5bfd4d92341d completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb00f0348190a767831d1362d844 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bbb570f4819093e23b20fd83d101 completed May 16, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08bf7d661c8190af9e9b7b4121f951 completed May 16, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:35 a.m.