Triple

T8815861
Position Surface form Disambiguated ID Type / Status
Subject Noordermarkt E209774 entity
Predicate near P350 FINISHED
Object Westerstraat E341833 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: Westerstraat | Statement: [Noordermarkt, near, Westerstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westerstraat
Context triple: [Noordermarkt, near, Westerstraat]
  • A. Westerstraat chosen
    Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
  • B. Rijfstraat
    Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
  • C. Damstraat
    Damstraat is a central street in Amsterdam’s historic city center, linking Dam Square with the Red Light District and lined with shops, cafés, and tourist-oriented businesses.
  • D. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • E. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff2ff248190bafcafe8b3860e53 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb0dab088190b842b20f8a7bc7a0 completed April 3, 2026, 4:30 p.m.
Created at: March 30, 2026, 6:45 p.m.