Triple

T15945516
Position Surface form Disambiguated ID Type / Status
Subject Kambaata language E386672 entity
Predicate closelyRelatedTo P37 FINISHED
Object Alaaba language E386673 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: Alaaba language | Statement: [Kambaata language, closelyRelatedTo, Alaaba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaaba language
Context triple: [Kambaata language, closelyRelatedTo, Alaaba language]
  • A. Alaba language chosen
    The Alaba language is a Highland East Cushitic language spoken primarily by the Alaba people in southern Ethiopia.
  • B. Apalaí language
    The Apalaí language is an indigenous Cariban language spoken by the Apalaí people of the Amazon region in northern Brazil.
  • C. Abáachi language
    The Abáachi language is an Athabaskan (Apachean) language traditionally spoken by the Jicarilla Apache people of the southwestern United States.
  • D. Alagwa language
    The Alagwa language is a South Cushitic language spoken by the Alagwa people of north-central Tanzania.
  • E. Tawala language
    Tawala language is an Austronesian language of the Papuan Tip region of Papua New Guinea, spoken primarily in coastal communities of Milne Bay Province.
  • 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.