Triple

T18131034
Position Surface form Disambiguated ID Type / Status
Subject Stéphane Loda E434009 entity
Predicate workLocation P7 FINISHED
Object Canet-en-Roussillon 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: Canet-en-Roussillon | Statement: [Stéphane Loda, workLocation, Canet-en-Roussillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canet-en-Roussillon
Context triple: [Stéphane Loda, workLocation, Canet-en-Roussillon]
  • A. Canet-en-Roussillon chosen
    Canet-en-Roussillon is a coastal commune and popular Mediterranean seaside resort in southern France’s Pyrénées-Orientales department.
  • B. Céret
    Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
  • C. Marvejols
    Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
  • D. Canet-de-Salars
    Canet-de-Salars is a small rural commune in the Aveyron department of southern France, known for its scenic lakeside setting and outdoor recreation.
  • E. Solliès-Pont
    Solliès-Pont is a commune in the Var department of southeastern France, known for its Provençal character and fig production.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf1e2508190993f65ca137fdf63 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.