Triple

T6869183
Position Surface form Disambiguated ID Type / Status
Subject North Limburg E158494 entity
Predicate partOf P40 FINISHED
Object Limburg E356805 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: [North Limburg, partOf, Limburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limburg
Context triple: [North Limburg, partOf, Limburg]
  • A. Limburg chosen
    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
    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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a916a88190b81551731dff2898 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7dafa68dc8190bc46ba9695a41b4c completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:22 p.m.