Triple

T21858592
Position Surface form Disambiguated ID Type / Status
Subject Haspengouw region E539697 entity
Predicate contains P35 FINISHED
Object Sint-Truiden 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: Sint-Truiden | Statement: [Haspengouw region, contains, Sint-Truiden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sint-Truiden
Context triple: [Haspengouw region, contains, Sint-Truiden]
  • A. St. Truiden chosen
    St. Truiden is a historic Belgian city in the Limburg region, known for its medieval architecture and fruit-growing countryside.
  • B. Zottegem
    Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
  • C. Mouscron
    Mouscron is a Belgian city in the province of Hainaut, near the French border in the region of Wallonia.
  • D. Vilvoorde
    Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
  • E. Mechelen
    Mechelen is a historic city in the Flemish region of Belgium, known for its rich architectural heritage, medieval center, and prominent role in the Low Countries’ political and religious history.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63944d88190b6bd5e6ba4cc8ec1 completed April 28, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:56 p.m.