Triple

T15483943
Position Surface form Disambiguated ID Type / Status
Subject Müllerstraße E376992 entity
Predicate hasCityDistrictFunction P51431 FINISHED
Object commercialSpineOfWedding 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: commercialSpineOfWedding | Statement: [Müllerstraße, hasCityDistrictFunction, commercialSpineOfWedding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityDistrictFunction
Context triple: [Müllerstraße, hasCityDistrictFunction, commercialSpineOfWedding]
  • A. cityDistrictFunction chosen
    Indicates that a specific function, role, or land-use purpose is assigned to or characterizes a particular district within a city.
  • B. hasUrbanDistrictFunction
    Indicates that an entity serves the administrative or functional role of an urban district within a larger territorial or governance structure.
  • C. targetCityDistrict
    Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
  • D. hasMunicipalDistrict
    Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
  • E. cityDistrictLevel
    Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69ded2874b788190999158e0f043be21 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:45 a.m.