Triple

T568669
Position Surface form Disambiguated ID Type / Status
Subject Berlin U-Bahn line U6 E13613 entity
Predicate hasStation P35 FINISHED
Object Kochstraße
Kochstraße is a Berlin U-Bahn station on line U6 located near Checkpoint Charlie in the central district of Kreuzberg.
 E71197 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: Kochstraße | Statement: [Berlin U-Bahn line U6, hasStation, Kochstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kochstraße
Context triple: [Berlin U-Bahn line U6, hasStation, Kochstraße]
  • A. Bad Tölz
    Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
  • B. Unter den Linden
    Unter den Linden is a historic and grand boulevard in central Berlin, Germany, renowned for its cultural institutions, landmarks, and role as a major ceremonial avenue.
  • C. Brückenstraße
    Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
  • D. Marktl am Inn
    Marktl am Inn is a small Bavarian town in southeastern Germany best known as the birthplace of Pope Benedict XVI.
  • E. Bad Kleinen
    Bad Kleinen is a small municipality in northern Germany, known historically as the place where philosopher and logician Gottlob Frege died.
  • 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: Kochstraße
Triple: [Berlin U-Bahn line U6, hasStation, Kochstraße]
Generated description
Kochstraße is a Berlin U-Bahn station on line U6 located near Checkpoint Charlie in the central district of Kreuzberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kochstraße
Target entity description: Kochstraße is a Berlin U-Bahn station on line U6 located near Checkpoint Charlie in the central district of Kreuzberg.
  • A. Bad Tölz
    Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
  • B. Unter den Linden
    Unter den Linden is a historic and grand boulevard in central Berlin, Germany, renowned for its cultural institutions, landmarks, and role as a major ceremonial avenue.
  • C. Brückenstraße
    Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
  • D. Marktl am Inn
    Marktl am Inn is a small Bavarian town in southeastern Germany best known as the birthplace of Pope Benedict XVI.
  • E. Bad Kleinen
    Bad Kleinen is a small municipality in northern Germany, known historically as the place where philosopher and logician Gottlob Frege died.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b0406d481908af5fc7bc67103fb completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efd0d5b88190a8c0822800f48e2a completed March 2, 2026, 2:02 a.m.
NEDg Description generation batch_69a4f043efec8190a3f53ab2764252be completed March 2, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a4f3eb1e3481909aa2b8290ed99e49 completed March 2, 2026, 2:20 a.m.
Created at: March 1, 2026, 7:33 p.m.