Triple

T2429080
Position Surface form Disambiguated ID Type / Status
Subject Catana E52799 entity
Predicate hasNameVariant P457 FINISHED
Object Catane E82307 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: Catane | Statement: [Catana, hasNameVariant, Catane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catane
Context triple: [Catana, hasNameVariant, Catane]
  • A. Melfi
    Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
  • B. Catania chosen
    Catania is a historic port city on the eastern coast of Sicily, Italy, known for its Baroque architecture and proximity to Mount Etna.
  • C. Cagli
    Cagli is a historic town in Italy’s Marche region, known for its medieval architecture and scenic setting in the Apennine foothills.
  • D. Salò
    Salò is a town on the western shore of Lake Garda in northern Italy, historically known as the de facto seat of government of Mussolini’s Italian Social Republic during World War II.
  • E. Rocciamelone
    Rocciamelone is a prominent mountain peak in the Italian Alps, known for its religious significance and panoramic views over the Susa Valley.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99e1b548190aca9a0ba72a9b0f7 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6634a48190af82eab6b9750323 completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.