Triple

T15408205
Position Surface form Disambiguated ID Type / Status
Subject Menen E368517 entity
Predicate locatedWestOf P4239 FINISHED
Object Kortrijk E168511 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: Kortrijk | Statement: [Menen, locatedWestOf, Kortrijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kortrijk
Context triple: [Menen, locatedWestOf, Kortrijk]
  • A. Kortrijk chosen
    Kortrijk is a historic city in western Belgium known for its medieval architecture, textile industry heritage, and role in the Battle of the Golden Spurs.
  • 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. Aalst
    Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
  • D. 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.
  • E. Ghent
    Ghent is a small unincorporated community and ski-area destination located in Raleigh County, West Virginia, United States.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46436048190b79d1d18a179617b completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 3:20 a.m.