Triple

T10311205
Position Surface form Disambiguated ID Type / Status
Subject Transilien Line R E241893 entity
Predicate terminus P388 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: [Transilien Line R, terminus, Paris-Gare-de-Lyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris-Gare-de-Lyon
Context triple: [Transilien Line R, terminus, Paris-Gare-de-Lyon]
  • A. 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.
  • B. Lyon station
    Lyon station is an underground light rail transit station in downtown Ottawa, Canada, serving the city’s O-Train Confederation Line.
  • 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. Lyon-Part-Dieu railway station
    Lyon-Part-Dieu railway station is a major high-speed and regional rail hub in Lyon, France, serving as one of the country’s busiest and most important transport interchanges.
  • E. Marseille-Saint-Charles station
    Marseille-Saint-Charles station is the main railway terminus in Marseille, France, serving as a major national and regional transport hub.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d65fc0948190af4356fc9f5004bb completed April 18, 2026, 12:54 a.m.
Created at: April 6, 2026, 11:47 a.m.