Triple

T4577124
Position Surface form Disambiguated ID Type / Status
Subject Singel E123164 entity
Predicate traverses P416 FINISHED
Object Binnenstad district E75944 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: Binnenstad district | Statement: [Singel, traverses, Binnenstad district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binnenstad district
Context triple: [Singel, traverses, Binnenstad district]
  • A. Binnenstad chosen
    Binnenstad is the historic city center of Utrecht in the Netherlands, known for its medieval architecture, canals, and cultural landmarks.
  • B. Jordaan neighborhood
    The Jordaan neighborhood is a historic and picturesque district in Amsterdam known for its narrow streets, canals, art galleries, cafés, and vibrant local culture.
  • C. Oud-Zuid
    Oud-Zuid is an affluent, culturally rich district in Amsterdam known for its museums, upscale shopping streets, and historic architecture.
  • D. De Pijp neighborhood
    De Pijp neighborhood is a vibrant, densely populated district in Amsterdam known for its multicultural atmosphere, lively cafés, and the famous Albert Cuyp Market.
  • E. Overhoeks district
    Overhoeks district is a modern waterfront neighborhood in Amsterdam-Noord known for its contemporary architecture, cultural venues, and redevelopment of former industrial land along the IJ river.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58e153908190ac8f578e03aecdfc completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3ee510481909d481b157bd0b2bd completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.