Triple

T7620588
Position Surface form Disambiguated ID Type / Status
Subject Antwerp City Hall E172480 entity
Predicate locatedOn P40 FINISHED
Object Grote Markt E175340 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: Grote Markt | Statement: [Antwerp City Hall, locatedOn, Grote Markt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grote Markt
Context triple: [Antwerp City Hall, locatedOn, Grote Markt]
  • A. Grote Markt
    Grote Markt is the historic central market square of Haarlem in the Netherlands, known for its medieval architecture and prominent civic and religious buildings.
  • B. Grote Markt chosen
    Grote Markt is the historic central square of Antwerp, Belgium, renowned for its ornate guildhalls, Brabo Fountain, and the Renaissance-style city hall.
  • C. Grote Markt
    Grote Markt is the central market square and main public gathering place in the Dutch city of Enschede, known for its shops, cafés, and events.
  • D. Grote Markt
    Grote Markt is the historic central market square of Gouda in the Netherlands, known for its traditional cheese market and surrounding medieval architecture.
  • E. Grote Markt
    Grote Markt is the historic central market square of Veurne, Belgium, known for its well-preserved medieval and Renaissance architecture and prominent civic buildings.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa62870c8190b17f44eb7a3ff2ad completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868789618819094010e60ef73fdfd completed March 28, 2026, 11:47 p.m.
Created at: March 27, 2026, 3:55 p.m.