Triple

T20693444
Position Surface form Disambiguated ID Type / Status
Subject Europeras 1 E508606 entity
Predicate partOf P40 FINISHED
Object Europeras 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: Europeras | Statement: [Europeras 1, partOf, Europeras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europeras
Context triple: [Europeras 1, partOf, Europeras]
  • A. Europeras chosen
    Europeras is a series of experimental operas by John Cage that deconstruct and reassemble elements of traditional European opera using chance operations and collage techniques.
  • B. Europop
    Europop is a catchy, melody-driven style of European popular music that blends danceable rhythms with polished pop production and often features synthesizers and simple, sing-along hooks.
  • C. European Concert
    European Concert is a live jazz album by the Modern Jazz Quartet, showcasing their refined chamber-jazz style in performances recorded during a European tour.
  • D. Europaeum
    Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
  • E. Euro
    The Euro is the official common currency used by many countries in the European Union, facilitating trade and travel across much of Europe.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10fc4088190ab71ef078600954b completed April 21, 2026, 12:13 a.m.
Created at: April 16, 2026, 12:09 p.m.