Triple

T15428166
Position Surface form Disambiguated ID Type / Status
Subject Seto people E369566 entity
Predicate culture P1114 FINISHED
Object Seto leelo E1147894 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: Seto leelo | Statement: [Seto people, culture, Seto leelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seto leelo
Context triple: [Seto people, culture, Seto leelo]
  • A. Seto leelo chosen
    Seto leelo is a traditional multipart singing style of the Seto people of southeastern Estonia and neighboring Russia, renowned for its rich harmonies, improvisation, and role in preserving Seto language and culture.
  • B. Leepa
    Leepa is a scenic mountain village in Pakistan-administered Azad Kashmir, known for its terraced fields, wooden houses, and picturesque valley landscapes.
  • C. Sepetiba
    Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
  • D. Jhulelal
    Jhulelal is a revered deity and cultural hero of the Sindhi community, venerated as a protector and symbol of faith, unity, and resilience.
  • E. Sooretama
    Sooretama is a municipality in the Brazilian state of Espírito Santo, known for its proximity to the Sooretama Biological Reserve and its Atlantic Forest conservation areas.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a8099448190be71f7b649c7e545 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.