Triple

T6069986
Position Surface form Disambiguated ID Type / Status
Subject City Hall of Maastricht E135256 entity
Predicate locatedIn P40 FINISHED
Object Limburg E155996 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: Limburg | Statement: [City Hall of Maastricht, locatedIn, Limburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limburg
Context triple: [City Hall of Maastricht, locatedIn, Limburg]
  • A. Limburg
    Limburg is a historical region in the Low Countries that was once part of the Habsburg Netherlands and has since been divided mainly between present-day Belgium and the Netherlands.
  • B. Limburg Province
    Limburg Province is a northeastern Belgian province known for its rural landscapes, cycling routes, and several military installations, including Kleine-Brogel Air Base.
  • C. North Limburg
    North Limburg is a cultural region in the northern part of the Dutch province of Limburg, known for its distinct dialects, rural landscapes, and cross-border ties with Germany.
  • D. Limburg an der Vesdre
    Limburg an der Vesdre is a historic town in eastern Belgium that once served as the capital of the medieval Duchy of Limburg.
  • E. South Limburg chosen
    South Limburg is a hilly, culturally distinct region in the southernmost part of the Dutch province of Limburg, known for its unique landscape, dialects, and cross-border influences from Belgium and Germany.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05742867481908e3f45c875807c73 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12523e63c81909c24b27e13acfae4 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:10 p.m.