Triple

T13447284
Position Surface form Disambiguated ID Type / Status
Subject Étang de Berre E320515 entity
Predicate locatedNear P294 FINISHED
Object Marignane E328434 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: Marignane | Statement: [Étang de Berre, locatedNear, Marignane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marignane
Context triple: [Étang de Berre, locatedNear, Marignane]
  • A. Marignane chosen
    Marignane is a commune in southern France near Marseille, known for hosting Marseille Provence Airport and its proximity to the Mediterranean coast.
  • B. Frontignan
    Frontignan is a coastal commune in southern France known for its Muscat wine production and Mediterranean setting near Sète.
  • C. Draguignan
    Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
  • D. Gardanne
    Gardanne is a commune in southern France known for its industrial heritage and location between Marseille and Aix-en-Provence.
  • 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 (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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7dcb8481909299419234dd30fe completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:41 p.m.