Triple

T5849538
Position Surface form Disambiguated ID Type / Status
Subject Koningsplein E129993 entity
Predicate hasNearby P350 FINISHED
Object Bloemenmarkt E23932 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: Bloemenmarkt | Statement: [Koningsplein, hasNearby, Bloemenmarkt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bloemenmarkt
Context triple: [Koningsplein, hasNearby, Bloemenmarkt]
  • A. Bloemenmarkt chosen
    Bloemenmarkt is Amsterdam’s famous floating flower market, known for its stalls selling tulips, bulbs, and other flowers along the Singel canal.
  • B. Feria de las Flores
    Feria de las Flores is a major annual flower festival in Medellín, Colombia, celebrated for its vibrant parades, floral displays, and traditional silletero processions.
  • C. De Akkers
    De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
  • D. Markt
    Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
  • E. Nieuwmarkt
    Nieuwmarkt is a historic square and lively neighborhood in central Amsterdam known for its markets, cafés, and the medieval Waag building.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03515dc0c81908797a9713f1a603f completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b052288190ace51e65f1d888ab completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.