Triple

T16570840
Position Surface form Disambiguated ID Type / Status
Subject TGV Lyria E402577 entity
Predicate mainHub P423 FINISHED
Object Paris Gare de Lyon E6964 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: Paris Gare de Lyon | Statement: [TGV Lyria, mainHub, Paris Gare de Lyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris Gare de Lyon
Context triple: [TGV Lyria, mainHub, Paris Gare de Lyon]
  • A. Lyon station
    Lyon station is an underground light rail transit station in downtown Ottawa, Canada, serving the city’s O-Train Confederation Line.
  • B. Gare de Lyon chosen
    Gare de Lyon is one of Paris’s major railway terminals, serving high-speed and regional trains to southeastern France and international destinations.
  • C. Lyon-Perrache station
    Lyon-Perrache station is one of Lyon’s main railway hubs, serving regional, national, and international train connections in southeastern France.
  • D. Paris-Saint-Lazare station
    Paris-Saint-Lazare station is one of the main railway termini in Paris, serving as a major hub for suburban and regional trains in the western part of the Île-de-France region.
  • E. Paris-Nord station
    Paris-Nord station, also known as Gare du Nord, is one of Europe’s busiest railway hubs in Paris, serving regional, national, and international trains including high-speed services like the Eurostar and Thalys.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35958d49c8190b995188240fb355b completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c291e2008190b41a989c5c6e2860 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:16 a.m.