Triple

T19507198
Position Surface form Disambiguated ID Type / Status
Subject Mook E488053 entity
Predicate locatedIn P40 FINISHED
Object Limburg NE NERFINISHED

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: [Mook, locatedIn, Limburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limburg
Context triple: [Mook, 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 chosen
    Limburg is a province in the southeastern Netherlands known for its hilly landscape, distinct Limburgish culture and language, and the city of Maastricht.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635130e708190bb3d70e1abbade2a completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.