Triple

T6034296
Position Surface form Disambiguated ID Type / Status
Subject WebExtensions API E134379 entity
Predicate supportsPlatform P203 FINISHED
Object Opera E72095 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: Opera | Statement: [WebExtensions API, supportsPlatform, Opera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera
Context triple: [WebExtensions API, supportsPlatform, Opera]
  • A. Opera chosen
    Opera is a web browser known for its built-in features like a free VPN, ad blocker, and integrated messaging tools.
  • B. OPERA
    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.
  • C. The World of Opera
    The World of Opera is a fantasy setting centered on grand operatic themes, performances, and drama within the broader Secondary Worlds universe.
  • D. World Music Theatre
    World Music Theatre is a large outdoor concert amphitheater in Tinley Park, Illinois, known for hosting major touring music acts and festivals.
  • E. Music for the Theatre
    Music for the Theatre is a 1925 jazz-influenced orchestral suite by Aaron Copland that blends modernist harmonies with theatrical, American vernacular styles.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b33a7c8190ad6282286199b192 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11388aec881908408d5844c96ea2d completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.