Triple

T16019604
Position Surface form Disambiguated ID Type / Status
Subject Cergy-Pontoise urban area E388564 entity
Predicate containsCommune P15149 FINISHED
Object Courdimanche E1052871 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: Courdimanche | Statement: [Cergy-Pontoise urban area, containsCommune, Courdimanche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courdimanche
Context triple: [Cergy-Pontoise urban area, containsCommune, Courdimanche]
  • A. Courdimanche chosen
    Courdimanche is a commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Le Jour
    Le Jour is the original French title of the 1987 American drama film "The Day," directed by Peter Markle.
  • C. Le Jour
    Le Jour is a French film that forms the central part of Marcel Hanoun’s experimental Night–Dawn–Day trilogy, exploring time, perception, and cinematic form.
  • D. Jour de fête
    Jour de fête is a 1949 French comedy film by Jacques Tati, centered on a bumbling village postman whose attempts to modernize mail delivery lead to a series of visual gags and satirical observations about postwar modernity.
  • E. Les Épreuves
    Les Épreuves is a collection of poems by French writer and first Nobel laureate in Literature Sully Prudhomme, reflecting his characteristic blend of philosophical reflection and emotional sensitivity.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183222e4c81909a3ab51446b671bd completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2a4b0c819094f629c65cf8f880 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.