Triple

T22452931
Position Surface form Disambiguated ID Type / Status
Subject Luberon Regional Natural Park E555037 entity
Predicate contains P35 FINISHED
Object Lourmarin 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: Lourmarin | Statement: [Luberon Regional Natural Park, contains, Lourmarin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lourmarin
Context triple: [Luberon Regional Natural Park, contains, Lourmarin]
  • A. Seysses
    Seysses is a commune in southwestern France, located in the Haute-Garonne department near Toulouse.
  • B. Marignane
    Marignane is a commune in southern France near Marseille, known for hosting Marseille Provence Airport and its proximity to the Mediterranean coast.
  • C. Aigues-Mortes
    Aigues-Mortes is a historic fortified town in southern France, renowned for its well-preserved medieval walls and proximity to the salt marshes of the Camargue.
  • D. Lourmarin, France chosen
    Lourmarin, France is a picturesque Provençal village in the Luberon region of southeastern France, known for its Renaissance château, vibrant cultural life, and association with writer Albert Camus.
  • E. Ramatuelle
    Ramatuelle is a picturesque hilltop village and coastal commune on the French Riviera, known for its medieval charm and proximity to the beaches of the Saint-Tropez area.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4d6368819082cafbbd83339fbf completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.