Triple

T11287376
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 13 E267231 entity
Predicate passesThrough P225 FINISHED
Object Gennevilliers E390388 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: Gennevilliers | Statement: [Paris Métro Line 13, passesThrough, Gennevilliers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gennevilliers
Context triple: [Paris Métro Line 13, passesThrough, Gennevilliers]
  • A. Gennevilliers chosen
    Gennevilliers is a suburban commune in the northwestern outskirts of Paris, France, known for its large industrial and port areas along the Seine.
  • B. Epinay-sur-Seine
    Epinay-sur-Seine is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods along the Seine River.
  • C. Arcueil
    Arcueil is a suburban commune in the southern outskirts of Paris, France, known historically as a residential area for notable scientists and intellectuals.
  • D. Cormeilles-en-Parisis
    Cormeilles-en-Parisis is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and views over the Seine valley.
  • E. Rueil-Malmaison
    Rueil-Malmaison is a suburban commune in the western outskirts of Paris, France, known for its residential character, historical sites, and role as a base for major corporate headquarters.
  • 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_69ffdbb445a48190ba3dafb1f076ac83 completed May 10, 2026, 1:13 a.m.
Created at: April 8, 2026, 9:32 p.m.