Triple

T17735107
Position Surface form Disambiguated ID Type / Status
Subject Boulevard de Clichy E442692 entity
Predicate hasMetroStation P522 FINISHED
Object Blanche (Paris Métro)
Blanche is a Paris Métro station in the Montmartre area, serving Line 2 near the Moulin Rouge on Boulevard de Clichy.
 E1285586 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: Blanche (Paris Métro) | Statement: [Boulevard de Clichy, hasMetroStation, Blanche (Paris Métro)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blanche (Paris Métro)
Context triple: [Boulevard de Clichy, hasMetroStation, Blanche (Paris Métro)]
  • A. Kléber (Paris Métro)
    Kléber (Paris Métro) is a Paris Métro station on Line 6 located near the Arc de Triomphe in the 16th arrondissement.
  • B. George V (Paris Métro)
    George V is a Paris Métro station on Line 1 located near the Champs-Élysées in the 8th arrondissement.
  • C. Boissière (Paris Métro)
    Boissière (Paris Métro) is a Paris Métro station in the 16th arrondissement, serving Line 6 near the Trocadéro area.
  • D. Falguière (Paris Métro)
    Falguière is a Paris Métro station on Line 12 located in the 15th arrondissement near Montparnasse.
  • E. Madeleine (Paris Métro)
    Madeleine is a Paris Métro station in central Paris that serves as an interchange between multiple lines, including the automated Line 14.
  • 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: Blanche (Paris Métro)
Triple: [Boulevard de Clichy, hasMetroStation, Blanche (Paris Métro)]
Generated description
Blanche is a Paris Métro station in the Montmartre area, serving Line 2 near the Moulin Rouge on Boulevard de Clichy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blanche (Paris Métro)
Target entity description: Blanche is a Paris Métro station in the Montmartre area, serving Line 2 near the Moulin Rouge on Boulevard de Clichy.
  • A. Kléber (Paris Métro)
    Kléber (Paris Métro) is a Paris Métro station on Line 6 located near the Arc de Triomphe in the 16th arrondissement.
  • B. George V (Paris Métro)
    George V is a Paris Métro station on Line 1 located near the Champs-Élysées in the 8th arrondissement.
  • C. Boissière (Paris Métro)
    Boissière (Paris Métro) is a Paris Métro station in the 16th arrondissement, serving Line 6 near the Trocadéro area.
  • D. Falguière (Paris Métro)
    Falguière is a Paris Métro station on Line 12 located in the 15th arrondissement near Montparnasse.
  • E. Madeleine (Paris Métro)
    Madeleine is a Paris Métro station in central Paris that serves as an interchange between multiple lines, including the automated Line 14.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478eaff6c81909c7bd438b8c6c987 completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242f775c88190b0aa341ec23bad73 completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a0246d15ae081908b43138fb91c3ccd completed May 11, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_6a02473e08848190ac9b219996169df3 completed May 11, 2026, 9:16 p.m.
Created at: April 10, 2026, 10:08 a.m.