Triple

T11736417
Position Surface form Disambiguated ID Type / Status
Subject Lindengracht E279037 entity
Predicate district P2709 FINISHED
Object Jordaan E64916 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: Jordaan | Statement: [Lindengracht, district, Jordaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordaan
Context triple: [Lindengracht, district, Jordaan]
  • A. Jordaan chosen
    Jordaan is a historic and picturesque neighborhood in central Amsterdam known for its narrow streets, canals, art galleries, and vibrant café culture.
  • B. Nieuwegracht
    Nieuwegracht is a historic canal in the Dutch city of Utrecht, known for its picturesque quays, wharf cellars, and centuries-old houses lining its banks.
  • C. Wetstraat
    Wetstraat is a major thoroughfare in Brussels that serves as a central hub for Belgian federal institutions and key European Union buildings.
  • D. Vlamingstraat
    Vlamingstraat is a central street in Bruges, Belgium, known for its historic buildings, shops, and proximity to the city’s main square, the Markt.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4edced48190b7a59dd45921828e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0901a6ed481909054ddd581935ac4 completed April 28, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:41 p.m.