Triple

T3151860
Position Surface form Disambiguated ID Type / Status
Subject Antibes E65894 entity
Predicate hasPart P35 FINISHED
Object Juan-les-Pins E238452 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: Juan-les-Pins | Statement: [Antibes, hasPart, Juan-les-Pins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan-les-Pins
Context triple: [Antibes, hasPart, Juan-les-Pins]
  • A. Juan-les-Pins chosen
    Juan-les-Pins is a seaside resort town on the French Riviera, known for its beaches, nightlife, and jazz festival.
  • B. Saint-Brevin-les-Pins
    Saint-Brevin-les-Pins is a seaside commune on France’s Atlantic coast, known for its sandy beaches, pine forests, and role as a gateway to the Loire estuary opposite Saint-Nazaire.
  • C. Le Cannet
    Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
  • D. Mandelieu-la-Napoule
    Mandelieu-la-Napoule is a coastal resort town on the French Riviera in southeastern France, known for its beaches, marina, and proximity to Cannes.
  • E. Saint-Tropez
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c27258819099c46a657779780b completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4dae9a0cc8190acc56eaa4f2479ef completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:05 p.m.