Triple

T10204221
Position Surface form Disambiguated ID Type / Status
Subject Province of Potenza E238961 entity
Predicate capital P234 FINISHED
Object Potenza E350143 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: Potenza | Statement: [Province of Potenza, capital, Potenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potenza
Context triple: [Province of Potenza, capital, Potenza]
  • A. Potenza chosen
    Potenza is a historic city in southern Italy that serves as the administrative and cultural center of the Basilicata region.
  • B. Aversa
    Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
  • C. 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.
  • D. Cosenza
    Cosenza is a historic city in southern Italy known for its medieval old town, cultural heritage, and role as an important provincial and university center.
  • E. Caserta
    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.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeed6fd0081908f8afad1ef4c6bff completed April 2, 2026, 4:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d54c32c8190b175a30c7c905cd2 completed April 10, 2026, 2:46 p.m.
Created at: March 30, 2026, 9:14 p.m.