Triple

T10837234
Position Surface form Disambiguated ID Type / Status
Subject Berta E255792 entity
Predicate alternativeName P39 FINISHED
Object Berta language E247403 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: Berta language | Statement: [Berta, alternativeName, Berta language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berta language
Context triple: [Berta, alternativeName, Berta language]
  • A. Berta languages chosen
    The Berta languages are a small group of closely related languages spoken primarily by the Berta people in the border regions of Sudan and Ethiopia, often classified within the proposed Nilo-Saharan language family.
  • B. Berti language
    The Berti language is an extinct Saharan language once spoken by the Berti people of Sudan.
  • C. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • D. Bitama language
    The Bitama language is a lesser-known Nilo-Saharan language spoken by a subgroup of the Kunama people in the Horn of Africa.
  • E. Berta–Shinasha languages
    Berta–Shinasha languages are a small group of closely related Nilo-Saharan languages spoken primarily in western Ethiopia and neighboring regions of Sudan.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.