Triple

T4163180
Position Surface form Disambiguated ID Type / Status
Subject U3 E91577 entity
Predicate hasStation P35 FINISHED
Object Kaulbachplatz
Kaulbachplatz is an underground station on Munich’s U-Bahn network, serving the U3 line in the Schwabing district.
 E431478 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: Kaulbachplatz | Statement: [U3, hasStation, Kaulbachplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaulbachplatz
Context triple: [U3, hasStation, Kaulbachplatz]
  • A. Barfüsserplatz
    Barfüsserplatz is a central public square in Basel, Switzerland, known as a major tram hub and venue for markets and city events.
  • B. Königsplatz
    Königsplatz is a central square in the Bavarian city of Fürth, Germany, known as an important local transport and urban hub.
  • C. Viktoria-Luise-Platz
    Viktoria-Luise-Platz is a historic, park-like square and U-Bahn station area in Berlin known for its distinctive circular layout and surrounding early 20th-century architecture.
  • D. Kurt-Schumacher-Platz
    Kurt-Schumacher-Platz is an underground station on Berlin’s U-Bahn network serving the Reinickendorf district in the north of the city.
  • E. Hermannplatz
    Hermannplatz is a major Berlin U-Bahn station and transport hub in the Neukölln district, known for its historic architecture and busy commercial surroundings.
  • 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: Kaulbachplatz
Triple: [U3, hasStation, Kaulbachplatz]
Generated description
Kaulbachplatz is an underground station on Munich’s U-Bahn network, serving the U3 line in the Schwabing district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaulbachplatz
Target entity description: Kaulbachplatz is an underground station on Munich’s U-Bahn network, serving the U3 line in the Schwabing district.
  • A. Barfüsserplatz
    Barfüsserplatz is a central public square in Basel, Switzerland, known as a major tram hub and venue for markets and city events.
  • B. Königsplatz
    Königsplatz is a central square in the Bavarian city of Fürth, Germany, known as an important local transport and urban hub.
  • C. Viktoria-Luise-Platz
    Viktoria-Luise-Platz is a historic, park-like square and U-Bahn station area in Berlin known for its distinctive circular layout and surrounding early 20th-century architecture.
  • D. Kurt-Schumacher-Platz
    Kurt-Schumacher-Platz is an underground station on Berlin’s U-Bahn network serving the Reinickendorf district in the north of the city.
  • E. Grunewaldstraße
    Grunewaldstraße is a notable street in Berlin’s Akazienkiez neighborhood, known for its mix of residential buildings, local shops, and cafés.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02a9bf348190b99cecd19fe65779 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d055a1888190a188a8dba7d8af23 completed March 14, 2026, 9:17 p.m.
NEDg Description generation batch_69b5d1a42bc08190bd32c9ebc21793f4 completed March 14, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69b5d2057f148190b4f9384183831d8e completed March 14, 2026, 9:24 p.m.
Created at: March 9, 2026, 3:44 p.m.