Triple

T7214035
Position Surface form Disambiguated ID Type / Status
Subject Chamic languages E149482 entity
Predicate hasPart P35 FINISHED
Object Western Cham language E356729 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: Western Cham language | Statement: [Chamic languages, hasPart, Western Cham language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Cham language
Context triple: [Chamic languages, hasPart, Western Cham language]
  • A. Cham language chosen
    Cham language is an Austronesian language historically spoken by the Cham people of mainland Southeast Asia, particularly in present-day Vietnam and Cambodia.
  • B. Chamling language
    The Chamling language is a Kiranti Sino-Tibetan language spoken primarily by the Chamling Rai people of eastern Nepal.
  • C. Nyishi language
    The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
  • D. Nyima languages
    The Nyima languages are a small group of closely related, lesser-known languages spoken by the Nyimang (Ama) people in the Nuba Mountains of Sudan.
  • E. Western Pahari language
    Western Pahari language is a group of Indo-Aryan languages spoken primarily in the hilly regions of Himachal Pradesh and surrounding areas in northern India.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98cbebc8190941e76259c988790 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbf5edbc81908cb40a5253e98b68 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:53 p.m.