Triple

T14352823
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Salerno E355896 entity
Predicate hasCoastalTown P969 FINISHED
Object Battipaglia E798832 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: Battipaglia | Statement: [Gulf of Salerno, hasCoastalTown, Battipaglia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battipaglia
Context triple: [Gulf of Salerno, hasCoastalTown, Battipaglia]
  • A. Battipaglia chosen
    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.
  • B. Aversa
    Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
  • C. Tricarico
    Tricarico is a historic hilltop town in the Basilicata region of southern Italy, noted for its medieval architecture and well-preserved old quarter.
  • D. Maddaloni
    Maddaloni is a historic town and municipality in southern Italy’s Campania region, known for its medieval castle and proximity to the city of Caserta.
  • E. Lavello
    Lavello is a historic town in the Basilicata region of southern Italy, known for its agricultural economy and archaeological heritage.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4ff1e48190bd9419d70098cede completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea59d27bc81908ace0b7db9f57215 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 1:14 a.m.