Triple

T4381189
Position Surface form Disambiguated ID Type / Status
Subject Port Hercules E99131 entity
Predicate nearbyLandmark P350 FINISHED
Object Monaco-Ville E434622 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: Monaco-Ville | Statement: [Port Hercules, nearbyLandmark, Monaco-Ville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monaco-Ville
Context triple: [Port Hercules, nearbyLandmark, Monaco-Ville]
  • A. Monaco-Ville chosen
    Monaco-Ville is the historic fortified old town of Monaco, situated on a rocky promontory overlooking the Mediterranean and housing key political and cultural institutions of the principality.
  • B. City of Nice
    The City of Nice is a major coastal city on the French Riviera, renowned for its Mediterranean climate, historic old town, and rich artistic and cultural heritage.
  • C. Saint-Tropez
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • D. Grasse
    Grasse is a town in southeastern France renowned as the world’s perfume capital and a historic center of the fragrance industry.
  • E. 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.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35243036481909fb0a001c3cb1ff2 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b637435c208190b8a899878b350798 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:18 p.m.