Triple

T686270
Position Surface form Disambiguated ID Type / Status
Subject Schöneberg E13289 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Akazienkiez
Akazienkiez is a popular, village-like residential and shopping quarter in Berlin known for its cafés, boutiques, and relaxed neighborhood atmosphere.
 E85236 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: Akazienkiez | Statement: [Schöneberg, hasNeighbourhood, Akazienkiez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akazienkiez
Context triple: [Schöneberg, hasNeighbourhood, Akazienkiez]
  • A. Aegle
    Aegle is a figure from Greek mythology, often identified as one of the Hesperides, the nymphs associated with a blissful garden at the western edge of the world.
  • B. Calamis
    Calamis was an ancient Greek sculptor renowned for his elegant and refined bronze works in the early Classical period.
  • C. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • D. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • E. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • 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: Akazienkiez
Triple: [Schöneberg, hasNeighbourhood, Akazienkiez]
Generated description
Akazienkiez is a popular, village-like residential and shopping quarter in Berlin known for its cafés, boutiques, and relaxed neighborhood atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akazienkiez
Target entity description: Akazienkiez is a popular, village-like residential and shopping quarter in Berlin known for its cafés, boutiques, and relaxed neighborhood atmosphere.
  • A. Aegle
    Aegle is a figure from Greek mythology, often identified as one of the Hesperides, the nymphs associated with a blissful garden at the western edge of the world.
  • B. Calamis
    Calamis was an ancient Greek sculptor renowned for his elegant and refined bronze works in the early Classical period.
  • C. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • D. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • E. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a093ac988190bb339616a3ed5adb completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca352248190a3e1b4e4c58a1e7f completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5dd2e39808190ab116593299a94f8 completed March 2, 2026, 6:55 p.m.
NED2 Entity disambiguation (via description) batch_69a5fe3bb2a08190a01ce2ed8b52ee4a completed March 2, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:36 p.m.