Triple

T15944860
Position Surface form Disambiguated ID Type / Status
Subject Gamo E386657 entity
Predicate glottologName P6521 FINISHED
Object Gamo E386657 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: Gamo | Statement: [Gamo, glottologName, Gamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamo
Context triple: [Gamo, glottologName, Gamo]
  • A. Gamo chosen
    Gamo is an Omotic language spoken primarily by the Gamo people in southwestern Ethiopia.
  • B. Gamo Zone
    Gamo Zone is an administrative zone in southern Ethiopia, named after the Gamo people and known for its diverse highland landscapes and cultural heritage.
  • C. Diemaco
    Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
  • D. Blaser
    Blaser is a surname of German origin borne by various notable individuals across fields such as poetry, sports, and manufacturing.
  • E. Mopin
    Mopin is a major agrarian festival of the Galo (Adi) people in Arunachal Pradesh, celebrated with traditional dances, rituals, and feasting to invoke prosperity and ward off evil.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.