Triple

T9240726
Position Surface form Disambiguated ID Type / Status
Subject Sorrentine Coast E222051 entity
Predicate hasViewOf 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: [Sorrentine Coast, hasViewOf, Mount Vesuvius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Vesuvius
Context triple: [Sorrentine Coast, hasViewOf, 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf0a3888c8190b72d8d0b850bdfbc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bc043ec81909393e8af03ab0117 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:30 p.m.