Triple

T12521590
Position Surface form Disambiguated ID Type / Status
Subject Aspromonte E299330 entity
Predicate hasViewOf P854 FINISHED
Object Mount Etna E54389 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 Etna | Statement: [Aspromonte, hasViewOf, Mount Etna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Etna
Context triple: [Aspromonte, hasViewOf, Mount Etna]
  • A. Mount Etna chosen
    Mount Etna is an active stratovolcano on the east coast of Sicily and one of the most active and iconic volcanoes in the world.
  • B. Etna
    Etna is a river in Innlandet county, Norway, known for flowing through the Etnedal valley before emptying into the large lake Randsfjorden.
  • C. Parco dell'Etna
    Parco dell'Etna is a regional park in Sicily that safeguards the natural landscapes, volcanic features, and biodiversity surrounding Mount Etna.
  • D. Roè Volciano
    Roè Volciano is a municipality in the province of Brescia in Lombardy, northern Italy, situated near Lake Garda.
  • E. Monte San Clemente
    Monte San Clemente is an alternative name for Monte San Valentín, the highest peak in Chilean Patagonia and a prominent mountain in the Northern Patagonian Ice Field.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545b2b2481909049a490c97678f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d4821c8190aa29db4b35262e8e completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:57 p.m.