Triple

T3014657
Position Surface form Disambiguated ID Type / Status
Subject Catania E82307 entity
Predicate near P350 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: [Catania, near, Mount Etna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Etna
Context triple: [Catania, near, 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. Parco dell'Etna
    Parco dell'Etna is a regional park in Sicily that safeguards the natural landscapes, volcanic features, and biodiversity surrounding Mount Etna.
  • C. Roè Volciano
    Roè Volciano is a municipality in the province of Brescia in Lombardy, northern Italy, situated near Lake Garda.
  • D. 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.
  • E. Stromboli
    Stromboli is an active volcanic island in the Tyrrhenian Sea, famous for its frequent mild eruptions that have earned it the nickname "Lighthouse of the Mediterranean."
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a69e8148190a97507740c9d26a8 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e6b78448190beb41460314278ec completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.