Triple

T13893883
Position Surface form Disambiguated ID Type / Status
Subject Nieuwmarkt metro station E334038 entity
Predicate hasEntrance P6140 FINISHED
Object Nieuwmarkt square E567787 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: Nieuwmarkt square | Statement: [Nieuwmarkt metro station, hasEntrance, Nieuwmarkt square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nieuwmarkt square
Context triple: [Nieuwmarkt metro station, hasEntrance, Nieuwmarkt square]
  • A. Nieuwmarkt square chosen
    Nieuwmarkt square is a historic public square in central Amsterdam known for its lively market, cafés, and the prominent medieval Waag building at its center.
  • B. Markt square
    Markt square is a central historic plaza in Maastricht, Netherlands, known for its prominent civic buildings, markets, and role as a focal point of urban life.
  • C. Markt square
    Markt square is the historic central market square of Delft in the Netherlands, known for its surrounding monumental buildings, cafes, and role as a focal point of city life.
  • D. Vredenburg square
    Vredenburg square is a central public square in the Dutch city of Utrecht, known as a major hub for shopping, events, and public transport.
  • E. Weinmarkt square
    Weinmarkt square is a historic market square in the medieval town of Dinkelsbühl, Germany, known for its well-preserved half-timbered houses and traditional townscape.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7419cc81909488871c16d6b356 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:15 p.m.