Triple

T5370052
Position Surface form Disambiguated ID Type / Status
Subject Gare de Nantes E108824 entity
Predicate connectsTo P845 FINISHED
Object Clisson E393204 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: Clisson | Statement: [Gare de Nantes, connectsTo, Clisson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clisson
Context triple: [Gare de Nantes, connectsTo, Clisson]
  • A. Clisson chosen
    Clisson is a picturesque historic town in western France known for its Italianate architecture, medieval castle, and annual Hellfest heavy metal music festival.
  • B. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • C. Thirroul
    Thirroul is a coastal suburb and beachside town in the northern Illawarra region of New South Wales, Australia, known for its scenic shoreline and proximity to the Illawarra Escarpment.
  • D. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • E. Gave de Pau
    Gave de Pau is a river in southwestern France that flows through the city of Pau and forms part of the Adour river system in the Pyrenees region.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86873e0c8190bf5ecede2cc2bd8b completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29307cc481908fa4d8b52711bbd4 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.