Triple

T9523213
Position Surface form Disambiguated ID Type / Status
Subject Province of Caserta E229694 entity
Predicate hasRiver P165 FINISHED
Object Volturno E793789 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: Volturno | Statement: [Province of Caserta, hasRiver, Volturno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volturno
Context triple: [Province of Caserta, hasRiver, Volturno]
  • A. Volturno chosen
    Volturno is a major river in southern Italy that flows through the Campania region before emptying into the Tyrrhenian Sea.
  • B. Vizzavona
    Vizzavona is a small mountain village and forested pass area in central Corsica, known as a key stop for hikers on the island’s famous GR20 trail.
  • C. Verucchio
    Verucchio is a historic hilltop town in Italy’s Emilia-Romagna region, known for its well-preserved medieval architecture and important Villanovan archaeological sites.
  • D. Biferno
    Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
  • E. Vulko
    Vulko is a fictional Atlantean statesman and advisor, often depicted as a close ally and counselor to Aquaman in DC Comics.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9898e0b48190a3e3f0f1616d5055 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a61fbd08190bb68ffe29da3a34a completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.