Triple

T1143127
Position Surface form Disambiguated ID Type / Status
Subject Aalsmeer flower market stalls (part of Bloemenmarkt) E23499 entity
Predicate near P350 FINISHED
Object Koningsplein E129993 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: Koningsplein | Statement: [Aalsmeer flower market stalls (part of Bloemenmarkt), near, Koningsplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koningsplein
Context triple: [Aalsmeer flower market stalls (part of Bloemenmarkt), near, Koningsplein]
  • A. Koningsplein chosen
    Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
  • B. Paleizenplein
    Paleizenplein is the prominent public square in central Brussels that fronts the Royal Palace and serves as a key ceremonial and urban landmark in the Belgian capital.
  • C. Paleisstraat
    Paleisstraat is a central street in Amsterdam that runs alongside the Royal Palace and links Dam Square with the Jordaan area.
  • D. Museumplein
    Museumplein is a major public square and cultural hub in Amsterdam, known for housing several of the city's most important museums and hosting large events.
  • E. Kalverstraat
    Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc4e93d48190b9fea886bf61aad7 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46d2f748190997c662f7c29e990 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:44 p.m.