Triple

T15944919
Position Surface form Disambiguated ID Type / Status
Subject Dawro E386659 entity
Predicate hasAncestor P369 FINISHED
Object Proto-Omotic E82601 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: Proto-Omotic | Statement: [Dawro, hasAncestor, Proto-Omotic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Proto-Omotic
Context triple: [Dawro, hasAncestor, Proto-Omotic]
  • A. Omotic languages chosen
    Omotic languages are a group of closely related languages spoken primarily in southwestern Ethiopia, often considered one of the most divergent branches of the Afroasiatic language family.
  • B. Proto-Chadic
    Proto-Chadic is the reconstructed common ancestor of the Chadic branch of the Afroasiatic language family, from which languages like Dass are believed to have descended.
  • C. Proto-Mari
    Proto-Mari is the reconstructed ancestral language from which the modern Hill Mari language developed.
  • D. Proto-Tyrsenian
    Proto-Tyrsenian is the hypothesized common ancestor language of the Tyrsenian family, believed to underlie languages such as Lemnian and Etruscan in the ancient Mediterranean region.
  • E. Proto-Gur
    Proto-Gur is the reconstructed common ancestor of the Gur languages of West Africa, inferred through comparative linguistic analysis.
  • 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_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.