Triple

T11287382
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 13 E267231 entity
Predicate hasInterchangeStation P2413 FINISHED
Object Champs-Élysées–Clemenceau E414197 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: Champs-Élysées–Clemenceau | Statement: [Paris Métro Line 13, hasInterchangeStation, Champs-Élysées–Clemenceau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Champs-Élysées–Clemenceau
Context triple: [Paris Métro Line 13, hasInterchangeStation, Champs-Élysées–Clemenceau]
  • A. Champs-Élysées–Clemenceau chosen
    Champs-Élysées–Clemenceau is a Paris Métro station located near the Champs-Élysées and the Grand Palais in central Paris.
  • B. Paris–Brest
    Paris–Brest is a long-distance French railway service connecting Paris with the city of Brest in Brittany.
  • C. Paris–Rennes
    Paris–Rennes is a major high-speed rail corridor in France linking the capital Paris with the city of Rennes in Brittany.
  • D. 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.
  • E. Paris–Bordeaux
    Paris–Bordeaux is a major high-speed rail corridor in France connecting the capital with the southwest, known for its fast TGV services.
  • 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.