Triple

T6669984
Position Surface form Disambiguated ID Type / Status
Subject Hansaviertel locality E151701 entity
Predicate partOf P40 FINISHED
Object Mitte borough E610255 NE FINISHED

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: [Hansaviertel locality, partOf, Mitte borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitte borough
Context triple: [Hansaviertel locality, partOf, 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. Baldwin Borough
    Baldwin Borough is a residential municipality in Allegheny County, Pennsylvania, located in the South Hills suburbs of Pittsburgh.
  • C. 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.
  • D. LaSalle borough
    LaSalle borough is a residential and industrial district in southwestern Montreal, Quebec, known for its location along the Saint Lawrence River and its diverse, multicultural community.
  • E. Sentrum borough
    Sentrum borough is the central district of Oslo, Norway, encompassing the city’s downtown area, main shopping streets, cultural institutions, and key government buildings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c7d9148190b3fbb870851d917b completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79f1718819098d8a6d08bf7f919 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:02 p.m.