Triple

T9051095
Position Surface form Disambiguated ID Type / Status
Subject Chut E216882 entity
Predicate hasCollectiveNameForSubgroups P40619 FINISHED
Object Arem E216884 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: Arem | Statement: [Chut, hasCollectiveNameForSubgroups, Arem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arem
Context triple: [Chut, hasCollectiveNameForSubgroups, Arem]
  • A. Arem chosen
    The Arem are a small indigenous ethnic group of Vietnam and Laos, traditionally semi-nomadic forest dwellers with a distinct language and culture.
  • B. Oshiwambo
    Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
  • C. Berbeka
    Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
  • D. Arosi
    Arosi is an Oceanic Austronesian language spoken primarily on Makira Island in the Solomon Islands.
  • E. Ayoreo
    The Ayoreo are an Indigenous people of the Gran Chaco region of Bolivia and Paraguay, known for their traditional semi-nomadic lifestyle and some groups’ continued voluntary isolation.
  • 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.