Triple

T5157940
Position Surface form Disambiguated ID Type / Status
Subject Oud-Zuid E116359 entity
Predicate contains P35 FINISHED
Object Van Baerlestraat E226996 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: Van Baerlestraat | Statement: [Oud-Zuid, contains, Van Baerlestraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Baerlestraat
Context triple: [Oud-Zuid, contains, Van Baerlestraat]
  • A. Van Baerlestraat chosen
    Van Baerlestraat is a major street in Amsterdam known for running alongside the Museumplein and providing access to several prominent museums and cultural institutions.
  • B. Vijzelstraat
    Vijzelstraat is a major street in central Amsterdam, Netherlands, running between the city’s historic canals and serving as an important traffic and commercial route.
  • C. Wibautstraat
    Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
  • D. Paleisstraat
    Paleisstraat is a central street in Amsterdam that runs alongside the Royal Palace and links Dam Square with the Jordaan area.
  • E. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7902fbe48190abb58cb0b2b2b62d completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7f3f7588190b1a09b408248d18b completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:44 p.m.