Triple

T19208680
Position Surface form Disambiguated ID Type / Status
Subject Grote Markt, Haarlem E480300 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Grote Houtstraat NE NERFINISHED

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: Grote Houtstraat | Statement: [Grote Markt, Haarlem, hasNearbyStreet, Grote Houtstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grote Houtstraat
Context triple: [Grote Markt, Haarlem, hasNearbyStreet, Grote Houtstraat]
  • A. Grote Houtstraat chosen
    Grote Houtstraat is one of the main historic shopping streets in the center of Haarlem, Netherlands, known for its boutiques, cafes, and traditional Dutch architecture.
  • B. Hartenstraat
    Hartenstraat is one of the small, picturesque shopping streets in Amsterdam’s historic Negen Straatjes (Nine Streets) district, known for its boutiques, cafés, and canal-side charm.
  • C. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • D. Marnixstraat
    Marnixstraat is a major street in central Amsterdam known for its tram lines, bus station, and proximity to popular areas like Leidseplein and the Jordaan.
  • 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 (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f9a000188190afb762ea24bc3deb completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:20 p.m.