Triple

T12159861
Position Surface form Disambiguated ID Type / Status
Subject Maria Amalia of Naples and Sicily E289675 entity
Predicate birthPlace P1 FINISHED
Object Caserta E126810 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: Caserta | Statement: [Maria Amalia of Naples and Sicily, birthPlace, Caserta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caserta
Context triple: [Maria Amalia of Naples and Sicily, birthPlace, Caserta]
  • A. Caserta chosen
    Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
  • B. Aversa
    Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
  • C. Gaeta
    Gaeta is a historic coastal town in central Italy known for its scenic Gulf of Gaeta, medieval fortifications, and strategic military and maritime significance.
  • D. Potenza
    Potenza is a historic city in southern Italy that serves as the administrative and cultural center of the Basilicata region.
  • E. Battipaglia
    Battipaglia is a town in southern Italy known for its agricultural production—especially buffalo mozzarella—and its role as an industrial and commercial hub in the Province of Salerno.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a837a5881908c600be0be334269 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.