Triple

T20533506
Position Surface form Disambiguated ID Type / Status
Subject Comune di Rio E504128 entity
Predicate hasPart P35 FINISHED
Object Nisportino 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: Nisportino | Statement: [Comune di Rio, hasPart, Nisportino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nisportino
Context triple: [Comune di Rio, hasPart, Nisportino]
  • A. Nisporto chosen
    Nisporto is a small coastal village on the island of Elba in Tuscany, Italy, known for its scenic beach and tranquil bay.
  • B. Niska
    Niska is an alternative name for the Nisga’a language, an Indigenous language spoken by the Nisga’a people of northwestern British Columbia, Canada.
  • C. Niska
    Niska is a French rapper known for his energetic trap-influenced style, inventive slang, and hit tracks that have significantly impacted the Francophone hip-hop scene.
  • D. Tinetto
    Tinetto is a small rocky island off the Ligurian coast of Italy, near La Spezia, known for its natural beauty and historical monastic ruins.
  • E. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06d30508190a13d1a9855b441fb completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.