Triple

T22591306
Position Surface form Disambiguated ID Type / Status
Subject Le Pré-Saint-Gervais E564955 entity
Predicate borderedBy P224 FINISHED
Object Les Lilas 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: Les Lilas | Statement: [Le Pré-Saint-Gervais, borderedBy, Les Lilas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Lilas
Context triple: [Le Pré-Saint-Gervais, borderedBy, Les Lilas]
  • A. Les Lilas chosen
    Les Lilas is a small suburban commune in the northeastern outskirts of Paris, France, known for its residential character and proximity to the capital.
  • B. Les Violets
    Les Violets is the popular nickname of Toulouse FC, the French professional football club known for its distinctive purple team colors.
  • C. Les Fleurs
    Les Fleurs is a section of Charles Baudelaire’s poetry collection "Les Fleurs du mal," known for its evocative and symbolist exploration of beauty, decadence, and modern urban life.
  • D. Les Fleurs
    Les Fleurs is one of the self-contained entrées (acts) of Jean-Philippe Rameau’s opéra-ballet Les Indes galantes, featuring its own distinct plot, characters, and musical numbers.
  • E. La Roseraie
    La Roseraie is a metro station in Toulouse, France, serving passengers on the city's Line A rapid transit route.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16160651081909d23735336fd7a16 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:48 p.m.