Triple

T17546640
Position Surface form Disambiguated ID Type / Status
Subject Akazienstraße E427341 entity
Predicate hasIndependentShops P127870 FINISHED
Object yes 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: yes | Statement: [Akazienstraße, hasIndependentShops, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIndependentShops
Context triple: [Akazienstraße, hasIndependentShops, yes]
  • A. hasShopsOn
    Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
  • B. hasShop
    Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
  • C. hasRetailStores
    Indicates that an entity operates or possesses one or more physical retail store locations.
  • D. hasOnlineShop
    Indicates that an entity operates or is associated with a shop that sells goods or services via the internet.
  • E. hasCulturalShops
    Indicates that a place or area contains shops or stores that sell goods or services associated with specific cultures or cultural traditions.
  • F. None of above. chosen

Provenance (4 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb37d148190b7f38599c06594ee completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:49 a.m.