Triple

T6226924
Position Surface form Disambiguated ID Type / Status
Subject Riviera dei Fiori E139255 entity
Predicate hasResort P4287 FINISHED
Object Diano Marina E564974 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: Diano Marina | Statement: [Riviera dei Fiori, hasResort, Diano Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diano Marina
Context triple: [Riviera dei Fiori, hasResort, Diano Marina]
  • A. Diano Marina chosen
    Diano Marina is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
  • B. Piombino
    Piombino is a coastal town and port in Tuscany, Italy, serving as a major mainland gateway to the island of Elba and other Tyrrhenian destinations.
  • C. Marina di Campo
    Marina di Campo is a coastal town on the Italian island of Elba, known for its long sandy beach and role as a popular tourist destination in the Tuscan Archipelago.
  • D. Campiglia Marittima
    Campiglia Marittima is a historic hilltop town in Tuscany, central Italy, known for its medieval architecture, thermal springs, and views over the Etruscan Coast.
  • E. Capoliveri
    Capoliveri is a historic hilltop town and popular tourist resort on the Italian island of Elba, known for its medieval center and coastal beaches.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d5403081908effc8330bda3f0a completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638568068819097811baeb8bf3ab3 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:22 p.m.