Triple

T6728615
Position Surface form Disambiguated ID Type / Status
Subject Vietic languages E153577 entity
Predicate endangeredMembers P73394 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 languages, endangeredMembers, Maleng language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maleng language
Context triple: [Vietic languages, endangeredMembers, 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. Lango language
    Lango is a Western Nilotic language spoken primarily by the Lango people of northern Uganda, closely related to other Luo languages.
  • E. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7c94bac8190ae4b236d1b04bec9 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129cb39c8190beb02f0d7ea19d8a completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:08 p.m.