Triple

T11093516
Position Surface form Disambiguated ID Type / Status
Subject Bongo–Bagirmi languages E262314 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Sinyar language E262851 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: Sinyar language | Statement: [Bongo–Bagirmi languages, hasMemberLanguage, Sinyar language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinyar language
Context triple: [Bongo–Bagirmi languages, hasMemberLanguage, Sinyar language]
  • A. Sinyar language chosen
    The Sinyar language is a Central Sudanic language spoken by the Sinyar people primarily in parts of Chad and Sudan.
  • B. Siona language
    The Siona language is a Western Tucanoan indigenous language spoken by the Siona people of the Amazonian region of Ecuador and Colombia.
  • C. Sangisari language
    The Sangisari language is an endangered Northwestern Iranian language spoken by a small community in northern Iran, notable for its distinct phonology and conservative grammatical features.
  • D. Sayanse language
    The Sayanse language is a lesser-known regional language associated with the Sayanci-speaking community, likely used in a specific ethnic or local context.
  • E. Shughni language
    Shughni is an Eastern Iranian language spoken primarily in the Pamir region of Tajikistan and Afghanistan, known for its rich oral tradition and use among Shughni ethnic communities.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7d3043c8190bdbe0ec51992db0c completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.