Triple

T7605835
Position Surface form Disambiguated ID Type / Status
Subject Luxemburgplein E180101 entity
Predicate hasNameInDutch P13254 FINISHED
Object Luxemburgplein E180101 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: Luxemburgplein | Statement: [Luxemburgplein, hasNameInDutch, Luxemburgplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luxemburgplein
Context triple: [Luxemburgplein, hasNameInDutch, Luxemburgplein]
  • A. Luxemburgplein chosen
    Luxemburgplein is a prominent square in Brussels, Belgium, located near the European Parliament and known as a hub for political and social gatherings.
  • B. Schumanplein
    Schumanplein is a major square and traffic hub in Brussels’ European Quarter, surrounded by key European Union institutions.
  • C. Koningsplein
    Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
  • D. Koningsplein
    Koningsplein is a prominent neoclassical square in central Brussels known for its historic buildings and cultural significance.
  • E. 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.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fcfcfc8190a29a0b5cd3e8927a completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86853e1fc8190b16cdf779057c804 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.