Triple

T5921827
Position Surface form Disambiguated ID Type / Status
Subject Nomade E131714 entity
Predicate ownedBy P347 FINISHED
Object City of Antibes E65894 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: City of Antibes | Statement: [Nomade, ownedBy, City of Antibes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Antibes
Context triple: [Nomade, ownedBy, City of Antibes]
  • A. 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.
  • B. Villefranche-sur-Mer
    Villefranche-sur-Mer is a picturesque coastal town in southeastern France known for its deep natural harbor, colorful old town, and scenic setting on the Mediterranean Sea.
  • C. Antibes chosen
    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.
  • D. Vieux-Nice
    Vieux-Nice is the historic old town of Nice, France, known for its narrow winding streets, colorful buildings, bustling markets, and vibrant Mediterranean atmosphere.
  • E. Old Town of Antibes
    The Old Town of Antibes is a historic Mediterranean quarter on the French Riviera, known for its preserved ramparts, narrow cobbled streets, Provençal market, and picturesque harbor views.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03802ff4081908589236ba5cd196d completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1135056348190876693465e221bac completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 4 p.m.