Triple

T21948486
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Aix-en-Provence E541998 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Marignane 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: Marignane | Statement: [arrondissement of Aix-en-Provence, containsAdministrativeTerritorialEntity, Marignane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marignane
Context triple: [arrondissement of Aix-en-Provence, containsAdministrativeTerritorialEntity, 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. Seysses
    Seysses is a commune in southwestern France, located in the Haute-Garonne department near Toulouse.
  • C. Frontignan
    Frontignan is a coastal commune in southern France known for its Muscat wine production and Mediterranean setting near Sète.
  • D. Cuers
    Cuers is a commune in the Var department of southeastern France, situated inland from Toulon in the Provence-Alpes-Côte d’Azur region.
  • E. Draguignan
    Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243a2f788190bd4625fa79888696 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:58 p.m.