Triple

T11390503
Position Surface form Disambiguated ID Type / Status
Subject Province of Syracuse E269822 entity
Predicate contains P35 FINISHED
Object Carlentini E917282 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: Carlentini | Statement: [Province of Syracuse, contains, Carlentini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlentini
Context triple: [Province of Syracuse, contains, Carlentini]
  • A. Carlentini chosen
    Carlentini is a historic town in southeastern Sicily, Italy, known for its agricultural traditions and proximity to both Catania and the Ionian coast.
  • B. Trevigiani
    Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
  • C. Chiaramonti
    Chiaramonti is the Italian noble family from which Pope Pius VII originated.
  • D. Crevalcore
    Crevalcore is a small Italian town in the Emilia-Romagna region, known for its agricultural surroundings and historic architecture within the Bologna metropolitan area.
  • E. Donnalucata
    Donnalucata is a seaside village in southern Sicily, Italy, known for its sandy beaches, fishing tradition, and role as a holiday destination on the Mediterranean coast.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c8f5ed88190b9cc55c0a73993ec completed April 20, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:34 p.m.