Triple

T5237932
Position Surface form Disambiguated ID Type / Status
Subject Nice tramway E118269 entity
Predicate operator P179 FINISHED
Object Lignes d’Azur E350538 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: Lignes d’Azur | Statement: [Nice tramway, operator, Lignes d’Azur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lignes d’Azur
Context triple: [Nice tramway, operator, Lignes d’Azur]
  • A. Lignes d’Azur chosen
    Lignes d’Azur is the public transportation network of Nice and its metropolitan area, operating trams and buses across the region.
  • B. Le Lavandou
    Le Lavandou is a seaside resort town on the French Riviera in southeastern France, known for its sandy beaches and Mediterranean coastal scenery.
  • C. La Côte
    La Côte is a wine-producing region along the northern shore of Lake Geneva in the canton of Vaud, Switzerland, known for its picturesque vineyards and small towns.
  • D. Les Milles
    Les Milles is a French historical drama film centered on World War II-era events at an internment camp in southern France.
  • E. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b27990c8190b6a3c24de09c8c18 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef820285881909f0e569e020a58ae completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.