Triple

T18126682
Position Surface form Disambiguated ID Type / Status
Subject Vorbergstraße E433893 entity
Predicate locatedIn P40 FINISHED
Object Akazienkiez NE NERFINISHED

How this triple was built (2 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: [Vorbergstraße, locatedIn, Akazienkiez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akazienkiez
Context triple: [Vorbergstraße, locatedIn, Akazienkiez]
  • A. Akazienkiez chosen
    Akazienkiez is a popular, village-like residential and shopping quarter in Berlin known for its cafés, boutiques, and relaxed neighborhood atmosphere.
  • B. Alykanas
    Alykanas is a coastal village and popular beach resort on the Greek island of Zakynthos, known for its sandy shores and relaxed holiday atmosphere.
  • C. Yakoma
    Yakoma is a Bantu language spoken by the Yakoma people primarily in the Central African Republic.
  • D. Aka-Bo
    Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddee1efc8190b04324b98de5c9d0 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.