Triple

T3627724
Position Surface form Disambiguated ID Type / Status
Subject Tyrrhenian region E76879 entity
Predicate containsVolcano P6356 FINISHED
Object 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: Vesuvius | Statement: [Tyrrhenian region, containsVolcano, Vesuvius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vesuvius
Context triple: [Tyrrhenian region, containsVolcano, 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. Phlegra
    Phlegra is a legendary battlefield in Greek mythology, famed as the site of the epic struggle between the Olympian gods and the Giants.
  • D. Roè Volciano
    Roè Volciano is a municipality in the province of Brescia in Lombardy, northern Italy, situated near Lake Garda.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2ddccc881909ae13dca3dd8a11d completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433270ddc81908080698604009737 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.