Triple

T21223095
Position Surface form Disambiguated ID Type / Status
Subject Thermi E523017 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Panorama 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: Panorama | Statement: [Thermi, hasNearbySettlement, Panorama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panorama
Context triple: [Thermi, hasNearbySettlement, Panorama]
  • A. Panorama
    Panorama is Trinidad and Tobago’s premier national steelband competition, showcasing the country’s steelpan music during the Carnival season.
  • B. Panorama
    Panorama is a long-running German television current affairs and investigative journalism program broadcast by the public broadcaster Norddeutscher Rundfunk (NDR).
  • C. Panorama chosen
    Panorama is a suburban town in northern Greece, known as an affluent residential area overlooking the city of Thessaloniki.
  • D. Panorama
    Panorama is a prominent sidebar section of the Berlin International Film Festival that showcases innovative, independent, and socially engaged films from around the world.
  • E. 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.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734a846d08190a5470298a3ddd0f8 completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:44 p.m.