Triple

T16245139
Position Surface form Disambiguated ID Type / Status
Subject Lugano District E394351 entity
Predicate contains P35 FINISHED
Object Curio E641585 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: Curio | Statement: [Lugano District, contains, Curio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curio
Context triple: [Lugano District, contains, Curio]
  • A. Curio
    Curio is a minor Roman character in Shakespeare’s play "Julius Caesar," serving as one of the attendants in the early scenes.
  • B. Curio chosen
    Curio is a small municipality in the canton of Ticino in southern Switzerland, known for its traditional village character and scenic hillside setting.
  • C. Kurious
    Kurious is an American rapper known for his witty, offbeat lyricism and contributions to the 1990s New York underground hip-hop scene.
  • D. Curado
    Curado is a neighborhood and district within the city of Recife in Brazil, known primarily as a large residential area with significant road connections and industrial activity.
  • E. Kurios – Cabinet of Curiosities
    Kurios – Cabinet of Curiosities is a steampunk-inspired Cirque du Soleil touring show that blends acrobatics, surreal visuals, and whimsical storytelling in a fantastical inventor’s world.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24561d250819096f709ea8751fcb9 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.