Triple

T22572452
Position Surface form Disambiguated ID Type / Status
Subject Via Nicolaci E558107 entity
Predicate touristAttractionOf P530 FINISHED
Object Noto NE NERFINISHED

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: Noto | Statement: [Via Nicolaci, touristAttractionOf, Noto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noto
Context triple: [Via Nicolaci, touristAttractionOf, Noto]
  • A. Noto chosen
    Noto is a historic town in southeastern Sicily renowned for its exquisite late Baroque architecture and status as a UNESCO World Heritage Site.
  • B. Noto
    Noto is the alias of German electronic musician and visual artist Alva Noto, known for his minimalist, experimental sound and multimedia installations.
  • C. Noto
    Noto is a historical region on the Noto Peninsula in Ishikawa Prefecture, Japan, known for its scenic coastline, traditional fishing villages, and cultural heritage.
  • D. Nakasi
    Nakasi is a major suburban and commercial area within Fiji’s Suva–Nausori urban corridor.
  • E. Sutoku
    Sutoku was a 12th-century Japanese emperor whose abdication and later role in the Hōgen Rebellion made him a legendary figure associated with political turmoil and vengeful spirit lore.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fe958e881909b58a5439f2c6a35 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:52 p.m.