Triple

T22842097
Position Surface form Disambiguated ID Type / Status
Subject Oscillation Project with Emulsion-tRacking Apparatus E566109 entity
Predicate abbreviation P43 FINISHED
Object OPERA 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: OPERA | Statement: [Oscillation Project with Emulsion-tRacking Apparatus, abbreviation, OPERA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPERA
Context triple: [Oscillation Project with Emulsion-tRacking Apparatus, abbreviation, OPERA]
  • A. OPERA chosen
    OPERA was a long-baseline neutrino oscillation experiment at the Gran Sasso National Laboratory in Italy, designed to detect tau neutrinos in a beam sent from CERN.
  • B. Ópera
    Ópera is a central Madrid Metro station located near the historic Teatro Real opera house and Plaza de Oriente.
  • C. Opéra
    Opéra is a major Paris Métro station and transport hub located near the Palais Garnier in central Paris.
  • D. Opera
    Opera is a web browser known for its built-in features like a free VPN, ad blocker, and integrated messaging tools.
  • E. Opera
    Opera is a 1987 Italian horror film directed by Dario Argento, noted for its stylized violence and psychological terror set in the world of grand opera.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e855abc8190b9cf8cc515090a7f completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.