Triple

T9050889
Position Surface form Disambiguated ID Type / Status
Subject Vietic peoples E216878 entity
Predicate hasLinguisticBranch P24621 FINISHED
Object Maleng language E615584 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: Maleng language | Statement: [Vietic peoples, hasLinguisticBranch, Maleng language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maleng language
Context triple: [Vietic peoples, hasLinguisticBranch, Maleng language]
  • A. Maleng language chosen
    The Maleng language is a Vietic language spoken by the Maleng people of Laos and Vietnam, known for preserving archaic features within the Vietic branch of the Austroasiatic family.
  • B. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • C. Lengo language
    The Lengo language is an Oceanic language spoken on Guadalcanal in the Solomon Islands, known for its place within the Southeast Solomonic subgroup.
  • D. Malasanga language
    The Malasanga language is an Oceanic language spoken in Papua New Guinea, belonging to the Kula–Malasanga subgroup of the Austronesian language family.
  • E. Lango language
    Lango is a Western Nilotic language spoken primarily by the Lango people of northern Uganda, closely related to other Luo languages.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b54423081908d9fd985109e336a completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebc90bf88190bbcdab07ca93f569 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.