Triple

T19495202
Position Surface form Disambiguated ID Type / Status
Subject Dauphiné–Lacassagne E487749 entity
Predicate hasName P744 FINISHED
Object Dauphiné–Lacassagne — NE NERFINISHED

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: Dauphiné–Lacassagne | Statement: [Dauphiné–Lacassagne, hasName, Dauphiné–Lacassagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dauphiné–Lacassagne
Context triple: [Dauphiné–Lacassagne, hasName, Dauphiné–Lacassagne]
  • A. Dauphiné–Lacassagne chosen
    Dauphiné–Lacassagne is a tram stop in Lyon, France, serving the city's public transport network on line T3.
  • B. Paris–Côte d’Azur
    Paris–Côte d’Azur was a prestigious French express train service linking Paris with the French Riviera, renowned for its luxury and popularity among holiday travelers.
  • C. Raon-l'Étape
    Raon-l'Étape is a commune in northeastern France’s Vosges department, known historically as a small industrial and trading town at the gateway to the Vosges mountains.
  • D. Paris–Clermont-Ferrand
    Paris–Clermont-Ferrand is a major French intercity rail route linking the capital Paris with the central city of Clermont-Ferrand.
  • E. Paris–Rennes
    Paris–Rennes is a major high-speed rail corridor in France linking the capital Paris with the city of Rennes in Brittany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63490c16481908423e304d82722d7 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.