Triple

T12051009
Position Surface form Disambiguated ID Type / Status
Subject Province of Catania E286914 entity
Predicate contains P35 FINISHED
Object Randazzo E910775 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: Randazzo | Statement: [Province of Catania, contains, Randazzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randazzo
Context triple: [Province of Catania, contains, Randazzo]
  • A. Randazzo chosen
    Randazzo is a historic medieval town in eastern Sicily, Italy, known for its lava-stone architecture and proximity to Mount Etna.
  • B. Roccuzzo
    Roccuzzo is an Italian-origin surname best known through Antonela Roccuzzo, an Argentine model and businesswoman married to footballer Lionel Messi.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • E. Trevigiani
    Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
  • 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_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.