Triple

T19635915
Position Surface form Disambiguated ID Type / Status
Subject Pont de Sèvres E471395 entity
Predicate adjacentStationOnLine9 P83323 FINISHED
Object Billancourt NE NERFINISHED

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: Billancourt | Statement: [Pont de Sèvres, adjacentStationOnLine9, Billancourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billancourt
Context triple: [Pont de Sèvres, adjacentStationOnLine9, Billancourt]
  • A. Billancourt chosen
    Billancourt is a Paris Métro station in Boulogne-Billancourt serving the western suburbs of the French capital.
  • B. Goutte d'Or
    Goutte d'Or is a vibrant, historically working-class neighborhood in Paris known for its diverse immigrant communities, bustling markets, and rich North and West African cultural influences.
  • C. Auteuil
    Auteuil is a residential neighborhood in western Paris known for its village-like atmosphere, Art Nouveau architecture, and historic literary and artistic associations.
  • D. Fontenay-aux-Roses
    Fontenay-aux-Roses is a suburban commune in the southern outskirts of Paris, France, known for its residential character and historical ties to notable French artists and intellectuals.
  • E. Beaugrenelle
    Beaugrenelle is a modern riverside district in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64105f44081909c62341bace91972 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.