Triple

T16823611
Position Surface form Disambiguated ID Type / Status
Subject Avenue George V E408958 entity
Predicate hasMetroStation P522 FINISHED
Object George V (Paris Métro)
George V is a Paris Métro station on Line 1 located near the Champs-Élysées in the 8th arrondissement.
 E1235000 NE FINISHED

How this triple was built (4 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: George V (Paris Métro) | Statement: [Avenue George V, hasMetroStation, George V (Paris Métro)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George V (Paris Métro)
Context triple: [Avenue George V, hasMetroStation, George V (Paris Métro)]
  • A. Richard-Lenoir (Paris Métro)
    Richard-Lenoir is a Paris Métro station on Line 5, located in the 11th arrondissement near Boulevard Richard-Lenoir.
  • B. Kléber (Paris Métro)
    Kléber (Paris Métro) is a Paris Métro station on Line 6 located near the Arc de Triomphe in the 16th arrondissement.
  • C. Falguière (Paris Métro)
    Falguière is a Paris Métro station on Line 12 located in the 15th arrondissement near Montparnasse.
  • D. Boissière (Paris Métro)
    Boissière (Paris Métro) is a Paris Métro station in the 16th arrondissement, serving Line 6 near the Trocadéro area.
  • E. Paris Métro Poissonnière
    Paris Métro Poissonnière is a station on the Paris Métro network located in the 10th arrondissement, serving Line 7 near the Gare du Nord area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: George V (Paris Métro)
Triple: [Avenue George V, hasMetroStation, George V (Paris Métro)]
Generated description
George V is a Paris Métro station on Line 1 located near the Champs-Élysées in the 8th arrondissement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George V (Paris Métro)
Target entity description: George V is a Paris Métro station on Line 1 located near the Champs-Élysées in the 8th arrondissement.
  • A. Richard-Lenoir (Paris Métro)
    Richard-Lenoir is a Paris Métro station on Line 5, located in the 11th arrondissement near Boulevard Richard-Lenoir.
  • B. Kléber (Paris Métro)
    Kléber (Paris Métro) is a Paris Métro station on Line 6 located near the Arc de Triomphe in the 16th arrondissement.
  • C. Falguière (Paris Métro)
    Falguière is a Paris Métro station on Line 12 located in the 15th arrondissement near Montparnasse.
  • D. Boissière (Paris Métro)
    Boissière (Paris Métro) is a Paris Métro station in the 16th arrondissement, serving Line 6 near the Trocadéro area.
  • E. Paris Métro Poissonnière
    Paris Métro Poissonnière is a station on the Paris Métro network located in the 10th arrondissement, serving Line 7 near the Gare du Nord area.
  • F. None of above. chosen

Provenance (5 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e838e881908b650194c9b94886 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29c170c81908fcc88c31e266ffb completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b3cb7a2c8190a90ed07bc06dfc1b completed May 10, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:23 a.m.