Triple

T3498146
Position Surface form Disambiguated ID Type / Status
Subject Alpes-Maritimes E73900 entity
Predicate containsCity P294 FINISHED
Object Roquebrune-Cap-Martin E190762 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-Cap-Martin | Statement: [Alpes-Maritimes, containsCity, Roquebrune-Cap-Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roquebrune-Cap-Martin
Context triple: [Alpes-Maritimes, containsCity, Roquebrune-Cap-Martin]
  • A. Roquebrune-Cap-Martin chosen
    Roquebrune-Cap-Martin is a picturesque coastal commune on the French Riviera in southeastern France, known for its medieval village, Mediterranean views, and proximity to Monaco.
  • B. Fréjus
    Fréjus is a historic town and seaside resort on the French Riviera in southeastern France, known for its Roman ruins and Mediterranean coastline.
  • C. Porto-Vecchio
    Porto-Vecchio is a popular seaside resort town in southern Corsica, France, known for its picturesque old port, historic citadel, and nearby white-sand beaches.
  • D. Leucate
    Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
  • E. Frontignan
    Frontignan is a coastal commune in southern France known for its Muscat wine production and Mediterranean setting near Sète.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432f6104c8190a7b820531b32bc6e completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:18 p.m.