Triple

T9883559
Position Surface form Disambiguated ID Type / Status
Subject D559 road E180871 entity
Predicate connects P390 FINISHED
Object Saint-Raphaël E443354 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: Saint-Raphaël | Statement: [D559 road, connects, Saint-Raphaël]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Raphaël
Context triple: [D559 road, connects, Saint-Raphaël]
  • A. Saint-Raphaël
    Saint-Raphaël is a commune in northern Haiti known for its agricultural activities and historical significance dating back to the colonial era.
  • B. Saint-Raphaël chosen
    Saint-Raphaël is a coastal resort town on the French Riviera known for its Mediterranean beaches, yacht marina, and scenic Esterel Massif backdrop.
  • C. Mouans-Sartoux
    Mouans-Sartoux is a commune in southeastern France known for its cultural events and location between Cannes and Grasse on the French Riviera.
  • D. La Ciotat
    La Ciotat is a coastal town on the Mediterranean in southern France, known for its historic shipyards and as one of the birthplaces of early cinema through the Lumière brothers’ pioneering films.
  • E. Villeneuve-Loubet
    Villeneuve-Loubet is a coastal commune in southeastern France known for its beaches, marina, and proximity to Nice on the French Riviera.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb453b388819095a5070399d9788d completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2577794d081909e852bda46f62988 completed April 5, 2026, 12:37 p.m.
Created at: March 30, 2026, 8:38 p.m.