Triple

T13841246
Position Surface form Disambiguated ID Type / Status
Subject Hôtel de Crillon E332659 entity
Predicate near P350 FINISHED
Object Jardin des Tuileries E47144 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: Jardin des Tuileries | Statement: [Hôtel de Crillon, near, Jardin des Tuileries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jardin des Tuileries
Context triple: [Hôtel de Crillon, near, Jardin des Tuileries]
  • A. Tuileries Garden chosen
    The Tuileries Garden is a historic formal public park in central Paris, stretching between the Louvre Museum and Place de la Concorde and known for its elegant landscaping, statues, and promenades.
  • B. Les Tuileries
    Les Tuileries is a residential locality within the municipality of Thônex in the canton of Geneva, Switzerland.
  • C. Jardin du Luxembourg
    Jardin du Luxembourg is a famous public park in Paris known for its formal gardens, statues, fountains, and the central pond where children sail model boats.
  • D. Parc de Bagatelle
    Parc de Bagatelle is a historic landscaped garden in Paris renowned for its romantic English-style park, extensive rose gardens, and 18th-century château.
  • E. Jardins du Trocadéro
    The Jardins du Trocadéro are formal landscaped gardens in Paris featuring fountains and wide terraces that offer iconic views of the Eiffel Tower across the Seine.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1bbee14819082e1a381a5950e07 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:13 p.m.