Triple

T21053875
Position Surface form Disambiguated ID Type / Status
Subject Shambala language E518657 entity
Predicate hasAlternativeName P39 FINISHED
Object Shambaali 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: Shambaali | Statement: [Shambala language, hasAlternativeName, Shambaali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shambaali
Context triple: [Shambala language, hasAlternativeName, Shambaali]
  • A. Kishambaa chosen
    Kishambaa is an alternative name for the Shambala language, a Bantu language spoken primarily in northeastern Tanzania.
  • B. Shilalo
    Shilalo is a musical track featured on the album "Carpe Diem."
  • C. Zabali
    Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
  • D. Baashha
    Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
  • E. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.