Triple

T5370078
Position Surface form Disambiguated ID Type / Status
Subject Gare de Nantes E108824 entity
Predicate locatedNear P294 FINISHED
Object Nantes city centre E16517 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: Nantes city centre | Statement: [Gare de Nantes, locatedNear, Nantes city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nantes city centre
Context triple: [Gare de Nantes, locatedNear, Nantes city centre]
  • A. Nantes chosen
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • B. Nantes metropolitan area
    The Nantes metropolitan area is a major urban and economic region in western France centered on the city of Nantes and encompassing its surrounding suburbs and districts.
  • C. Vitry-le-François
    Vitry-le-François is a commune in northeastern France’s Marne department, known as a planned Renaissance town and the birthplace of mathematician Abraham de Moivre.
  • D. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • E. Montpellier Quarter
    Montpellier Quarter is an elegant historic shopping and dining district in Harrogate, England, known for its boutiques, galleries, and cafés.
  • 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_69bf334553148190a5c53bda473c17c3 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:02 p.m.