Triple

T11103741
Position Surface form Disambiguated ID Type / Status
Subject Riviera Romagnola E262574 entity
Predicate hasCity P316 FINISHED
Object Bellaria-Igea Marina E911468 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: Bellaria-Igea Marina | Statement: [Riviera Romagnola, hasCity, Bellaria-Igea Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellaria-Igea Marina
Context triple: [Riviera Romagnola, hasCity, Bellaria-Igea Marina]
  • A. Bellaria-Igea Marina chosen
    Bellaria-Igea Marina is a seaside resort town on Italy’s Adriatic coast, known for its sandy beaches and tourism within the Emilia-Romagna region.
  • B. Diano Marina
    Diano Marina is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
  • 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. Civitavecchia
    Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
  • E. Cervia
    Cervia is a coastal town and popular seaside resort on the Adriatic Sea in Italy’s Emilia-Romagna region, known for its historic salt pans and 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2d33948190ac29d174694a78e5 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5254907348190a9652395f15b2044 completed April 19, 2026, 6:56 p.m.
Created at: April 8, 2026, 9:27 p.m.