Triple

T7262403
Position Surface form Disambiguated ID Type / Status
Subject Mint Square E159686 entity
Predicate hasNameInLanguage P15 FINISHED
Object Munttorenplein E28240 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: Munttorenplein | Statement: [Mint Square, hasNameInLanguage, Munttorenplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munttorenplein
Context triple: [Mint Square, hasNameInLanguage, Munttorenplein]
  • A. Weesperplein
    Weesperplein is an underground metro station in central Amsterdam that serves as a key stop on multiple Amsterdam Metro lines.
  • B. 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.
  • C. 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.
  • D. Muntplein chosen
    Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
  • E. Natieplein
    Natieplein is the Dutch name for Place de la Nation, a notable public square in Paris, France.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac8bc908190b0e4da5474ecb62f completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db175b188190beb5ba5ebb662c9b completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:57 p.m.