Triple

T3035368
Position Surface form Disambiguated ID Type / Status
Subject Nissart E82995 entity
Predicate traditionalLanguageOf P6149 FINISHED
Object city of Nice E140630 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 Nice | Statement: [Nissart, traditionalLanguageOf, city of Nice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Nice
Context triple: [Nissart, traditionalLanguageOf, city of Nice]
  • A. City of Nice chosen
    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. Aix-en-Provence
    Aix-en-Provence is a historic and picturesque city in southern France, renowned for its Provençal charm, fountains, and as the hometown of painter Paul Cézanne.
  • C. Old Town (Vieux-Nice)
    Old Town (Vieux-Nice) is the historic quarter of Nice, France, known for its narrow winding streets, colorful facades, bustling markets, and vibrant Mediterranean atmosphere.
  • 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. Toulon
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2bb60c8190b1721f832f2581a1 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eeeeff988190bb664c75d54d93d8 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.