Triple

T21368028
Position Surface form Disambiguated ID Type / Status
Subject Friedrichswerder district E526972 entity
Predicate locatedIn P40 FINISHED
Object Mitte borough 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: Mitte borough | Statement: [Friedrichswerder district, locatedIn, Mitte borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitte borough
Context triple: [Friedrichswerder district, locatedIn, Mitte borough]
  • A. Mitte borough chosen
    Mitte borough is a central administrative district of Berlin, Germany, known for encompassing many of the city’s historic landmarks and government institutions.
  • B. Eastern Boro
    Eastern Boro is a regional dialect variety of the Boro language spoken by Boro communities in the eastern part of their traditional linguistic area.
  • C. Baldwin Borough
    Baldwin Borough is a residential municipality in Allegheny County, Pennsylvania, located in the South Hills suburbs of Pittsburgh.
  • D. Middlesex Borough, New Jersey
    Middlesex Borough, New Jersey is a small suburban municipality in Middlesex County known for its residential neighborhoods and proximity to major central New Jersey transportation routes.
  • E. Matraman
    Matraman is a district in East Jakarta, Indonesia, known as one of the city's older urban residential and commercial areas.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5baf5fb4819093f8d8afdd83ffdb completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:09 p.m.