Triple

T14273112
Position Surface form Disambiguated ID Type / Status
Subject Port Lympia E353841 entity
Predicate adjacentTo P224 FINISHED
Object Vieux-Nice E489413 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: Vieux-Nice | Statement: [Port Lympia, adjacentTo, Vieux-Nice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vieux-Nice
Context triple: [Port Lympia, adjacentTo, Vieux-Nice]
  • A. Vieux-Nice chosen
    Vieux-Nice is the historic old town of Nice, France, known for its narrow winding streets, colorful buildings, bustling markets, and vibrant Mediterranean atmosphere.
  • 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. Cagnes-sur-Mer
    Cagnes-sur-Mer is a coastal town on the French Riviera in southeastern France, known for its Mediterranean beaches and historic hilltop village.
  • D. Le Cannet
    Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
  • E. 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.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de65811d7c8190b075909a6570d415 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
Created at: April 10, 2026, 1:10 a.m.