Triple

T21477331
Position Surface form Disambiguated ID Type / Status
Subject Glória (Rio de Janeiro) E529894 entity
Predicate near P350 FINISHED
Object Cinelandia 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: Cinelandia | Statement: [Glória (Rio de Janeiro), near, Cinelandia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinelandia
Context triple: [Glória (Rio de Janeiro), near, Cinelandia]
  • A. Cinelândia chosen
    Cinelândia is a historic and culturally vibrant square in downtown Rio de Janeiro, Brazil, known for its theaters, cinemas, and early 20th-century architecture.
  • B. Wonderful Land
    "Wonderful Land" is a 1962 instrumental rock composition by the British group The Shadows, renowned for its melodic lead guitar and enduring popularity in the UK charts.
  • C. Island of the Cows
    Island of the Cows is a small French island whose name reflects a historical association with cattle or pasturage.
  • D. Paraiso
    Paraiso is a former Canal Zone town in Panama that historically housed workers and facilities supporting the operation and maintenance of the nearby Panama Canal.
  • E. Paraiso
    Paraiso is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea187a3c8190b3f33bd760dc1f54 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:20 p.m.