Triple

T12051005
Position Surface form Disambiguated ID Type / Status
Subject Province of Catania E286914 entity
Predicate contains P35 FINISHED
Object Mascalucia E915890 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: Mascalucia | Statement: [Province of Catania, contains, Mascalucia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mascalucia
Context triple: [Province of Catania, contains, Mascalucia]
  • A. Mascalucia chosen
    Mascalucia is a town and comune on the slopes of Mount Etna in Sicily, Italy, known as a residential suburb of the nearby city of Catania.
  • B. Serradifalco
    Serradifalco is a small town and comune in central Sicily, Italy, known historically for its sulfur mining and agricultural production.
  • C. Galatrona
    Galatrona is a small locality within the municipality of Bucine in the Tuscany region of Italy, known for its rural landscape and historic surroundings.
  • D. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • E. Arcidosso
    Arcidosso is a historic Tuscan hill town in central Italy, known for its medieval castle and scenic location on the slopes of Mount Amiata.
  • 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_69f6b8b788308190bd9c3b68569bc56a completed May 3, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:47 p.m.