Triple

T15142181
Position Surface form Disambiguated ID Type / Status
Subject Siemensstadt E361710 entity
Predicate hasPart P35 FINISHED
Object Großsiedlung Siemensstadt E361710 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: Großsiedlung Siemensstadt | Statement: [Siemensstadt, hasPart, Großsiedlung Siemensstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Großsiedlung Siemensstadt
Context triple: [Siemensstadt, hasPart, Großsiedlung Siemensstadt]
  • A. Siemensstadt chosen
    Siemensstadt is a Berlin neighborhood historically shaped by the Siemens industrial works and noted for its early 20th-century modernist housing developments.
  • B. Oranienburger Vorstadt
    Oranienburger Vorstadt is a historic neighborhood in central Berlin, known for its 19th-century urban fabric, cultural sites, and proximity to key political and intellectual centers of the city.
  • C. Roßdorf
    Roßdorf is a municipality in the German state of Hesse, located near the city of Darmstadt.
  • D. Spandauer Vorstadt
    Spandauer Vorstadt is a historic neighborhood in central Berlin, known for its preserved pre-war architecture, vibrant cultural scene, and significant Jewish heritage sites.
  • E. Gartenstadt
    Gartenstadt is a residential district of the Upper Franconian town of Lichtenfels in Bavaria, Germany.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c5c4248190b57234e3ccf2831b completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfee0ae48190a36523d3eeae9740 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.