Triple

T12051007
Position Surface form Disambiguated ID Type / Status
Subject Province of Catania E286914 entity
Predicate contains P35 FINISHED
Object Biancavilla E915889 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: Biancavilla | Statement: [Province of Catania, contains, Biancavilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biancavilla
Context triple: [Province of Catania, contains, Biancavilla]
  • A. Biancavilla chosen
    Biancavilla is a town and comune in eastern Sicily, Italy, situated on the slopes of Mount Etna within the Metropolitan City of Catania.
  • B. Centuripe
    Centuripe is an ancient town in eastern Sicily known for its archaeological remains and historical ties to the pre-Roman Sicel people.
  • C. Caltagirone
    Caltagirone is a historic town in Sicily renowned for its rich Baroque architecture and traditional ceramic craftsmanship.
  • 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. Mercogliano
    Mercogliano is a town and comune in southern Italy’s Campania region, known for its proximity to Avellino and the Montevergine Sanctuary.
  • 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_69f6e2548a848190a3a72415a5e4d0fd completed May 3, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:47 p.m.