Triple

T9707928
Position Surface form Disambiguated ID Type / Status
Subject Villa Rosebery E234945 entity
Predicate hasView P854 FINISHED
Object Mount Vesuvius E79924 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: Mount Vesuvius | Statement: [Villa Rosebery, hasView, Mount Vesuvius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Vesuvius
Context triple: [Villa Rosebery, hasView, Mount Vesuvius]
  • A. Vesuvius chosen
    Vesuvius is an active stratovolcano near Naples in southern Italy, famous for its catastrophic AD 79 eruption that buried the Roman cities of Pompeii and Herculaneum.
  • B. Vésubie
    Vésubie is a river in southeastern France that flows through the Alpes-Maritimes department in the Maritime Alps.
  • C. Roè Volciano
    Roè Volciano is a municipality in the province of Brescia in Lombardy, northern Italy, situated near Lake Garda.
  • D. Phlegra
    Phlegra is a legendary battlefield in Greek mythology, famed as the site of the epic struggle between the Olympian gods and the Giants.
  • E. Stromboli
    Stromboli is the greedy, villainous puppeteer who exploits Pinocchio for profit in Disney’s animated film adaptation of the classic tale.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da5e09081909456909d768611e6 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af93b76c81908377f17956fb86b1 completed April 5, 2026, 12:40 a.m.
Created at: March 30, 2026, 8:19 p.m.