Triple

T14034784
Position Surface form Disambiguated ID Type / Status
Subject Sezze E337682 entity
Predicate sharesBorderWith P224 FINISHED
Object Priverno E337685 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: Priverno | Statement: [Sezze, sharesBorderWith, Priverno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Priverno
Context triple: [Sezze, sharesBorderWith, Priverno]
  • A. Priverno chosen
    Priverno is a historic town in the Lazio region of central Italy, known for its medieval architecture and proximity to the ancient site of Privernum.
  • B. Torrenova
    Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
  • C. Patavium
    Patavium is the ancient Roman name for the city now known as Padua in northern Italy, historically an important urban and cultural center of the Veneto region.
  • D. Soluntum
    Soluntum was an important ancient Punic city on the northern coast of Sicily, known as a major center of Carthaginian presence on the island.
  • E. Tavullia
    Tavullia is a small Italian town in the Marche region, best known as the hometown of MotoGP legend Valentino Rossi.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fac71188190a586049405f1071e completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc339d53c8190a9cd7027a716ff5f completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.