Triple

T1713525
Position Surface form Disambiguated ID Type / Status
Subject Rue de la Loi / Wetstraat E37237 entity
Predicate hasNameInDutch P13254 FINISHED
Object Wetstraat E214230 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: Wetstraat | Statement: [Rue de la Loi / Wetstraat, hasNameInDutch, Wetstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wetstraat
Context triple: [Rue de la Loi / Wetstraat, hasNameInDutch, Wetstraat]
  • A. Wetstraat chosen
    Wetstraat is a major thoroughfare in Brussels that serves as a central hub for Belgian federal institutions and key European Union buildings.
  • B. Zeestraet
    Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
  • 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. Vijzelgracht
    Vijzelgracht is a street and canal in central Amsterdam, known for its location along the city’s historic canal belt and for the nearby Vijzelgracht metro station.
  • E. 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.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63174b3c8190bd2406c78407be28 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3b9a2f4819082ca2e9f838f7b9e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:30 p.m.