Triple

T13449353
Position Surface form Disambiguated ID Type / Status
Subject judicial arrondissement of Kortrijk E320567 entity
Predicate hasJurisdictionOver P808 FINISHED
Object Menen E368517 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: Menen | Statement: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Menen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menen
Context triple: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Menen]
  • A. Menen chosen
    Menen is a town in the Belgian province of West Flanders, located near the border with France.
  • B. Menem
    Menem is the surname of Carlos Menem, the former President of Argentina known for his neoliberal economic reforms and political influence in the 1990s.
  • C. Mene
    Mene is an epithet of the Greek moon goddess Selene, emphasizing her aspect as the personification of the lunar month and its cyclical phases.
  • D. Manaen
    Manaen was an early Christian leader mentioned in the New Testament as a prophet and teacher in the church at Antioch, noted for having been brought up with Herod the tetrarch.
  • E. Menke
    Menke is a surname most notably associated with Sally Menke, the acclaimed American film editor known for her long-time collaboration with director Quentin Tarantino.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef973b08190a3d7fe1c2a913cff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462340548190b156a8213f5e2556 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.