Triple

T7236005
Position Surface form Disambiguated ID Type / Status
Subject Neukölln E155228 entity
Predicate locatedIn P40 FINISHED
Object Bezirk Neukölln E155228 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: Bezirk Neukölln | Statement: [Neukölln, locatedIn, Bezirk Neukölln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezirk Neukölln
Context triple: [Neukölln, locatedIn, Bezirk Neukölln]
  • A. Friedrichshain
    Friedrichshain is a vibrant district in Berlin known for its alternative culture, nightlife, and historic sites including remnants of the Berlin Wall.
  • B. Friedrichshain-Kreuzberg
    Friedrichshain-Kreuzberg is a central Berlin borough known for its vibrant nightlife, alternative culture, and diverse, historically rich neighborhoods.
  • C. Neukölln chosen
    Neukölln is a diverse, historically working-class district in southern Berlin known for its vibrant multicultural community, nightlife, and rapidly changing urban landscape.
  • D. Tempelhof-Schöneberg
    Tempelhof-Schöneberg is a borough of Berlin, Germany, known for its mix of historic residential areas, the former Tempelhof Airport, and significant Cold War-era political sites.
  • E. Berliner Bezirk Spandau
    Berliner Bezirk Spandau is a historic western district of Berlin, Germany, known for its medieval old town, Spandau Citadel fortress, and mix of residential, industrial, and green areas along the Havel River.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea33dd3481908ebb050e1fab5aaa completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d67da5708190973ac88aa67e32b1 completed March 29, 2026, 7:36 a.m.
Created at: March 27, 2026, 2:55 p.m.