Triple

T2018692
Position Surface form Disambiguated ID Type / Status
Subject Paleizenplein E44054 entity
Predicate hasNameInDutch P13254 FINISHED
Object Paleizenplein E44054 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: Paleizenplein | Statement: [Paleizenplein, hasNameInDutch, Paleizenplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paleizenplein
Context triple: [Paleizenplein, hasNameInDutch, Paleizenplein]
  • A. Paleizenplein chosen
    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.
  • B. Weesperplein
    Weesperplein is an underground metro station in central Amsterdam that serves as a key stop on multiple Amsterdam Metro lines.
  • C. 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.
  • D. Luxemburgplein
    Luxemburgplein is a prominent square in Brussels, Belgium, located near the European Parliament and known as a hub for political and social gatherings.
  • E. Koningsplein
    Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8cfa5c88190b55bce5db968665b completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1757f4ac8190a894d8a35053eea2 completed March 9, 2026, 6:54 p.m.
Created at: March 4, 2026, 7:38 p.m.