Triple

T11326847
Position Surface form Disambiguated ID Type / Status
Subject Gouvy E268242 entity
Predicate hasSettlement P1068 FINISHED
Object Gouvy (village) E268242 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: Gouvy (village) | Statement: [Gouvy, hasSettlement, Gouvy (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gouvy (village)
Context triple: [Gouvy, hasSettlement, Gouvy (village)]
  • A. Gouvy chosen
    Gouvy is a rural municipality in the Belgian province of Luxembourg, known for its natural landscapes and proximity to the Ardennes region.
  • B. Gourbesville
    Gourbesville is a small rural commune in the Manche department of northwestern France, situated in the Normandy region.
  • C. Poulainville
    Poulainville is a small commune in northern France located in the Somme department of the Hauts-de-France region.
  • D. Souvigny
    Souvigny is a historic town in central France known for its important Cluniac priory and medieval religious heritage.
  • E. Prévondavaux
    Prévondavaux is a small municipality in the canton of Fribourg in western Switzerland.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e52608b7348190875597513ca1a995 completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.