Triple

T2327520
Position Surface form Disambiguated ID Type / Status
Subject Prince Leopold, Duke of Albany E48322 entity
Predicate deathCity P38933 FINISHED
Object Cannes E47528 NE FINISHED

How this triple was built (3 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: Cannes | Statement: [Prince Leopold, Duke of Albany, deathCity, Cannes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannes
Context triple: [Prince Leopold, Duke of Albany, deathCity, Cannes]
  • A. Cannes chosen
    Cannes is a glamorous resort city on the French Riviera, internationally renowned for its luxury tourism, beaches, and role as a global center of the film industry.
  • B. Saint-Tropez
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • C. Sophia Antipolis
    Sophia Antipolis is a major technology and research park in southeastern France, known as a European hub for telecommunications, information technology, and innovation.
  • D. Antibes
    Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: deathCity
Context triple: [Prince Leopold, Duke of Albany, deathCity, Cannes]
  • A. deathToll
    Indicates the number of deaths resulting from a particular event, situation, or cause.
  • B. mainCityDestroyed
    Indicates that the primary or central city associated with an entity has been destroyed.
  • C. city1
    Indicates that the subject is classified as a city.
  • D. city2
    Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
  • E. affectedCity
    Indicates that a particular city is impacted or influenced by a specified event, action, or condition.
  • F. None of above. chosen

Provenance (5 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abcc30c5e881908c5d526d7e7491d0 completed March 7, 2026, 6:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae897243c48190a18b0e02ad664ead completed March 9, 2026, 8:48 a.m.
PD Predicate disambiguation batch_69abc5926d048190a535e3f23d41de2a completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abcc2fa25c8190858c1c541b914f4c completed March 7, 2026, 6:56 a.m.
Created at: March 4, 2026, 7:50 p.m.