Triple

T3848714
Position Surface form Disambiguated ID Type / Status
Subject Akazienkiez E85236 entity
Predicate namedAfter P63 FINISHED
Object Akazienstraße
Akazienstraße is a well-known street in Berlin’s Schöneberg district, recognized for its lively neighborhood atmosphere, cafés, and small shops.
 E427341 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: Akazienstraße | Statement: [Akazienkiez, namedAfter, Akazienstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akazienstraße
Context triple: [Akazienkiez, namedAfter, Akazienstraße]
  • A. Hauptallee
    Hauptallee is the broad, tree-lined main avenue running through Vienna’s Prater park, popular for walking, cycling, and recreational activities.
  • B. Otisstraße
    Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district of the city.
  • C. Zimmerstraße
    Zimmerstraße is a street in central Berlin, Germany, historically significant for running along the former Berlin Wall and passing by the famous Checkpoint Charlie border crossing.
  • D. Strobelallee
    Strobelallee is a street in Dortmund, Germany, known for running alongside the Signal Iduna Park football stadium.
  • E. Breite Straße
    Breite Straße is a historic main street in the medieval town of Goslar, Germany, known for its traditional half-timbered houses and central role in the old town.
  • 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: Akazienstraße
Triple: [Akazienkiez, namedAfter, Akazienstraße]
Generated description
Akazienstraße is a well-known street in Berlin’s Schöneberg district, recognized for its lively neighborhood atmosphere, cafés, and small shops.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akazienstraße
Target entity description: Akazienstraße is a well-known street in Berlin’s Schöneberg district, recognized for its lively neighborhood atmosphere, cafés, and small shops.
  • A. Hauptallee
    Hauptallee is the broad, tree-lined main avenue running through Vienna’s Prater park, popular for walking, cycling, and recreational activities.
  • B. Otisstraße
    Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district of the city.
  • C. Zimmerstraße
    Zimmerstraße is a street in central Berlin, Germany, historically significant for running along the former Berlin Wall and passing by the famous Checkpoint Charlie border crossing.
  • D. Strobelallee
    Strobelallee is a street in Dortmund, Germany, known for running alongside the Signal Iduna Park football stadium.
  • E. Breite Straße
    Breite Straße is a historic main street in the medieval town of Goslar, Germany, known for its traditional half-timbered houses and central role in the old town.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcc8a0481909c35161336bdfbf9 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b74b0cd08190bebb483a72d0b59a completed March 14, 2026, 7:30 p.m.
NEDg Description generation batch_69b5b83759c08190b080565bb1ac8bb4 completed March 14, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8be90c88190a4852c625e326f6b completed March 14, 2026, 7:36 p.m.
Created at: March 9, 2026, 3:19 p.m.