Triple

T3350474
Position Surface form Disambiguated ID Type / Status
Subject Panorama (Berlin International Film Festival) E70479 entity
Predicate hasSection P35 FINISHED
Object Panorama Special E70479 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: Panorama Special | Statement: [Panorama (Berlin International Film Festival), hasSection, Panorama Special]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panorama Special
Context triple: [Panorama (Berlin International Film Festival), hasSection, Panorama Special]
  • A. Panorama
    Panorama is a long-running BBC television current affairs documentary programme known for its investigative journalism and in-depth reporting on political and social issues.
  • B. Panorama
    Panorama is a notable musical number from the stage musical "The Sleeping Beauty."
  • C. Panorama chosen
    Panorama is a prominent sidebar section of the Berlin International Film Festival that showcases innovative, independent, and socially engaged films from around the world.
  • D. Panamik
    Panamik is a remote village in India’s Ladakh region, known for its hot springs and scenic location in the Nubra Valley near the Siachen Glacier.
  • E. Spektr
    Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb220721c81909eb4d8d35c923927 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252f3f248190bb61db5c4fd2781a completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.