Triple

T36177565
Position Surface form Disambiguated ID Type / Status
Subject Taunusstraße (Frankfurt am Main) E1046616 entity
Predicate isPartOfUrbanQuarter P82488 FINISHED
Object Frankfurt Bahnhofsviertel red-light area LITERAL 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: Frankfurt Bahnhofsviertel red-light area | Statement: [Taunusstraße (Frankfurt am Main), isPartOfUrbanQuarter, Frankfurt Bahnhofsviertel red-light area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanQuarter
Context triple: [Taunusstraße (Frankfurt am Main), isPartOfUrbanQuarter, Frankfurt Bahnhofsviertel red-light area]
  • A. isUrbanSectionOf
    Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
  • B. situatedInQuarter chosen
    Indicates that one entity is located within or belongs to a specific quarter or district of a larger area.
  • C. isUrbanDistrict
    Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
  • D. isOneOfUrbanDistrictsOf
    Indicates that an entity is a member of the set of urban districts belonging to a specified larger administrative area or city.
  • E. isUrbanNeighborhood
    Indicates that a given area functions as a neighborhood located within an urban or city environment.
  • F. None of above.

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_69f76e3c1b10819081fc7a807a71cf84 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ffc083a54c8190ac80d05ee8d20a6b completed May 9, 2026, 11:17 p.m.
PD Predicate disambiguation batch_69ffbfeb05b88190b4d50ce8124004d9 completed May 9, 2026, 11:14 p.m.
Created at: May 3, 2026, 4:08 p.m.