Triple

T17279720
Position Surface form Disambiguated ID Type / Status
Subject Strada Statale 115 E419489 entity
Predicate connectsCity P4245 FINISHED
Object Noto E127132 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: Noto | Statement: [Strada Statale 115, connectsCity, Noto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noto
Context triple: [Strada Statale 115, connectsCity, Noto]
  • A. Noto
    Noto is the alias of German electronic musician and visual artist Alva Noto, known for his minimalist, experimental sound and multimedia installations.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Nishio
    Nishio is a city in Aichi Prefecture, Japan, known for its high-quality matcha green tea production and traditional Japanese culture.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e433286f6c8190bf4a757707707e22 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179513ffc81908bac515823e88a1a completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.