Triple

T11093553
Position Surface form Disambiguated ID Type / Status
Subject Sara languages E262315 entity
Predicate hasMember P10 FINISHED
Object Sar language E648905 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: Sar language | Statement: [Sara languages, hasMember, Sar language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sar language
Context triple: [Sara languages, hasMember, Sar language]
  • A. Sar language chosen
    Sar language is a Papuan language spoken on Pantar Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
  • B. Sara languages
    Sara languages are a group of closely related Central Sudanic languages spoken primarily in southern Chad and neighboring regions.
  • C. Sarikoli language
    The Sarikoli language is an Eastern Iranian Pamir language spoken primarily by the Tajik ethnic minority in China’s Xinjiang region.
  • D. Salar language
    The Salar language is a Turkic language spoken primarily by the Salar people in northwestern China, notable for its Oghuz roots and heavy influence from Chinese and Tibetan.
  • E. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • 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_69e42d69c8b4819092614e83e855430e completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.