Triple

T12051006
Position Surface form Disambiguated ID Type / Status
Subject Province of Catania E286914 entity
Predicate contains P35 FINISHED
Object Belpasso E916704 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: Belpasso | Statement: [Province of Catania, contains, Belpasso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belpasso
Context triple: [Province of Catania, contains, Belpasso]
  • A. Belpasso chosen
    Belpasso is a town and comune in eastern Sicily, Italy, situated on the slopes of Mount Etna within the Metropolitan City of Catania.
  • B. Avola
    Avola is a coastal town in southeastern Sicily, Italy, known for its wine production—especially Nero d’Avola—and its almonds.
  • C. Serradifalco
    Serradifalco is a small town and comune in central Sicily, Italy, known historically for its sulfur mining and agricultural production.
  • D. Giarre
    Giarre is a town in eastern Sicily, Italy, situated near the Ionian coast and known for its historic architecture and proximity to Mount Etna.
  • E. Villabate
    Villabate is a town in Sicily, Italy, situated near the city of Palermo and known for its role as a residential and commercial suburb of the regional capital.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e476d48190b6d9fafa7fe1cb9f completed May 3, 2026, 4:58 a.m.
Created at: April 8, 2026, 9:47 p.m.