Triple

T16057624
Position Surface form Disambiguated ID Type / Status
Subject Roc d’Azur E389523 entity
Predicate location P40 FINISHED
Object Roquebrune-sur-Argens E402595 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: Roquebrune-sur-Argens | Statement: [Roc d’Azur, location, Roquebrune-sur-Argens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roquebrune-sur-Argens
Context triple: [Roc d’Azur, location, Roquebrune-sur-Argens]
  • A. Roquebrune-sur-Argens chosen
    Roquebrune-sur-Argens is a commune in southeastern France’s Var department, known for its picturesque medieval village, red sandstone rock formations, and proximity to the Mediterranean coast.
  • B. Haut-de-Cagnes
    Haut-de-Cagnes is the historic medieval hilltop quarter of Cagnes-sur-Mer on the French Riviera, known for its cobbled streets, castle, and artistic heritage.
  • C. Hyères
    Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
  • D. Frontignan
    Frontignan is a coastal commune in southern France known for its Muscat wine production and Mediterranean setting near Sète.
  • E. La Seyne-sur-Mer
    La Seyne-sur-Mer is a coastal town in southeastern France on the Mediterranean, historically known for its major shipbuilding industry.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837634248190a99cc454ad1e99e0 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29836bc8190b35f528d3e8547be completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:57 a.m.