Triple

T3502462
Position Surface form Disambiguated ID Type / Status
Subject Maastrichtian E73999 entity
Predicate namedAfter P63 FINISHED
Object Maastricht, Netherlands E168527 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: Maastricht, Netherlands | Statement: [Maastrichtian, namedAfter, Maastricht, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maastricht, Netherlands
Context triple: [Maastrichtian, namedAfter, Maastricht, Netherlands]
  • A. Maastricht chosen
    Maastricht is a historic city in the southeastern Netherlands known for its medieval architecture, vibrant cultural scene, and as the birthplace of the Maastricht Treaty that founded the European Union.
  • B. Utrecht, Netherlands
    Utrecht is a historic Dutch city known for its medieval old town, prominent religious and educational institutions, and role as a major cultural and economic center in the Netherlands.
  • C. Roermond, Netherlands
    Roermond, Netherlands is a historic city in the southeastern province of Limburg known for its medieval architecture, riverside setting, and role as a regional commercial and cultural center.
  • D. Brussels, Belgium
    Brussels, Belgium is the capital city of Belgium and a major political center of Europe, hosting key institutions such as the European Union and numerous international organizations.
  • E. Enschede, Netherlands
    Enschede is a city in the eastern Netherlands known for its former textile industry, technical university, and location near the German border.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbef47988190b5b3fe2e452b9ac8 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4faec5fc4819090c8f55b819d436c completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:18 p.m.