Triple

T11287377
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 13 E267231 entity
Predicate passesThrough P225 FINISHED
Object Clichy E393898 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: Clichy | Statement: [Paris Métro Line 13, passesThrough, Clichy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clichy
Context triple: [Paris Métro Line 13, passesThrough, Clichy]
  • A. Clichy chosen
    Clichy is a suburban commune in the northwestern outskirts of Paris, France, known for its dense urban character and role as a residential and business hub.
  • B. Clichy-sous-Bois
    Clichy-sous-Bois is a northeastern suburb of Paris, France, known for its large immigrant population, social housing estates, and as a focal point of the 2005 French riots.
  • C. Aubervilliers
    Aubervilliers is a densely populated suburban commune in the northeastern outskirts of Paris, known for its industrial past and cultural diversity.
  • D. Clignancourt
    Clignancourt is a northern Paris neighborhood known for its proximity to Montmartre and its famous flea market at Saint-Ouen.
  • E. Courbevoie
    Courbevoie is a suburban commune in the Hauts-de-Seine department of the Île-de-France region, located just west of central Paris and known for encompassing part of the La Défense business district.
  • 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_69ffe46175b88190ae687073ddaa3d22 completed May 10, 2026, 1:50 a.m.
Created at: April 8, 2026, 9:32 p.m.