Triple

T1534205
Position Surface form Disambiguated ID Type / Status
Subject Fréjus Rail Tunnel E32513 entity
Predicate connects P390 FINISHED
Object Modane E55601 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: Modane | Statement: [Fréjus Rail Tunnel, connects, Modane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modane
Context triple: [Fréjus Rail Tunnel, connects, Modane]
  • A. Modane chosen
    Modane is a French Alpine town in the Savoie department known as a key transit point through the Fréjus Road and Rail Tunnels between France and Italy.
  • B. Mont-Dore
    Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic landscapes.
  • C. Mazamet
    Mazamet is a town in southern France known historically for its wool and leather industries, situated in the Tarn department within the Occitanie region.
  • D. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • E. Bourg-Saint-Maurice
    Bourg-Saint-Maurice is a French Alpine town in the Savoie department, known as a gateway to major ski resorts such as Les Arcs in the Graian Alps.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3706935481909455528b1bc4ce6c completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.