Triple

T7167018
Position Surface form Disambiguated ID Type / Status
Subject Zimmerstraße E167095 entity
Predicate partOf P40 FINISHED
Object Friedrichstadt street grid E339957 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: Friedrichstadt street grid | Statement: [Zimmerstraße, partOf, Friedrichstadt street grid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrichstadt street grid
Context triple: [Zimmerstraße, partOf, Friedrichstadt street grid]
  • A. Oststadt
    Oststadt is a central district of Hanover, Germany, known for its urban residential areas, cultural venues, and proximity to the city’s main commercial and administrative centers.
  • B. Dorotheenstadt chosen
    Dorotheenstadt is a historic district in central Berlin, Germany, known for its cultural significance and notable institutions.
  • C. Maxvorstadt
    Maxvorstadt is a central Munich district known for its concentration of major art museums, universities, and cultural institutions.
  • D. Altstadt (Frankfurt am Main)
    Altstadt (Frankfurt am Main) is the historic old town district of Frankfurt, Germany, known for its reconstructed medieval streets, traditional architecture, and major cultural landmarks.
  • E. Innenstadt (Frankfurt am Main)
    Innenstadt (Frankfurt am Main) is Frankfurt’s central city district, encompassing the main commercial, financial, and shopping areas around the historic core and major transport hubs.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85a07388190a07054ef12870fa1 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adced6b48190bcae9af88f640584 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:48 p.m.