Triple

T11287379
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 13 E267231 entity
Predicate hasInterchangeStation P2413 FINISHED
Object Saint-Lazare E211473 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: Saint-Lazare | Statement: [Paris Métro Line 13, hasInterchangeStation, Saint-Lazare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Lazare
Context triple: [Paris Métro Line 13, hasInterchangeStation, Saint-Lazare]
  • A. Saint-Lazare chosen
    Saint-Lazare is one of Paris’s busiest transport hubs, serving as a major Métro interchange connected to the Gare Saint-Lazare railway station.
  • B. Saint-Lazare Cathedral
    Saint-Lazare Cathedral is a Romanesque Catholic cathedral in Autun, France, renowned for its 12th-century sculptural decoration, especially the Last Judgment tympanum by Gislebertus.
  • C. Invalides
    Invalides is a Paris Métro and RER station located near Les Invalides in central Paris, serving as a key transport hub for the surrounding historic and governmental district.
  • D. Saint-Philippe du Roule
    Saint-Philippe du Roule is a Paris Métro station in the 8th arrondissement, serving the upscale district near the Champs-Élysées.
  • E. La Part-Dieu
    La Part-Dieu is a major business and commercial district in Lyon, France, known for its large shopping center, office towers, and central train station.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e986b0f08190a414749eaa7f1a5d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48e190c8190b46d4286e2acaef1 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:32 p.m.