Triple

T11120749
Position Surface form Disambiguated ID Type / Status
Subject Le Dôme Café E263007 entity
Predicate near P350 FINISHED
Object Montparnasse railway station E7771 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: Montparnasse railway station | Statement: [Le Dôme Café, near, Montparnasse railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montparnasse railway station
Context triple: [Le Dôme Café, near, Montparnasse railway station]
  • A. Sèvres–Rive-Gauche station
    Sèvres–Rive-Gauche station is a suburban railway station in the town of Sèvres, in the southwestern outskirts of Paris, serving regional commuter trains.
  • B. Beaurepaire station
    Beaurepaire station is a commuter rail station serving the Beaurepaire area of Beaconsfield, a suburb on the Island of Montreal in Quebec, Canada.
  • C. Porte Dauphine station
    Porte Dauphine station is a Paris Métro station located near Avenue Foch in the 16th arrondissement of Paris, serving as one of the western termini of Line 2.
  • D. Orsay-Ville station
    Orsay-Ville station is a commuter rail station in Orsay, France, serving the RER B line that connects the southwestern suburbs to central Paris.
  • E. Gare Montparnasse chosen
    Gare Montparnasse is one of Paris’s major railway terminals, serving primarily southwestern France and known for its modern complex and historic 1895 train crash.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79af911b881908168f23a4918231c completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5254907348190a9652395f15b2044 completed April 19, 2026, 6:56 p.m.
Created at: April 8, 2026, 9:28 p.m.