Triple

T9051058
Position Surface form Disambiguated ID Type / Status
Subject Chut E216882 entity
Predicate hasLanguage P15 FINISHED
Object Chut language
Chut language is a Vietic language spoken by the Chut ethnic group in parts of central Vietnam.
 E775473 NE FINISHED

How this triple was built (4 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: Chut language | Statement: [Chut, hasLanguage, Chut language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chut language
Context triple: [Chut, hasLanguage, Chut language]
  • A. Chuwabu language
    The Chuwabu language is a Bantu language spoken in Mozambique, closely related to other Makua languages and used primarily by the Chuwabu people.
  • B. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • C. Cham language
    Cham language is an Austronesian language historically spoken by the Cham people of mainland Southeast Asia, particularly in present-day Vietnam and Cambodia.
  • D. Kutu language
    The Kutu language is a Bantu language spoken by the Kutu people of central Tanzania, belonging to the Northeast Coast Bantu subgroup.
  • E. Changana language
    Changana is a Bantu language spoken primarily in southern Mozambique and neighboring regions, closely related to other Tswa–Ronga varieties.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chut language
Triple: [Chut, hasLanguage, Chut language]
Generated description
Chut language is a Vietic language spoken by the Chut ethnic group in parts of central Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chut language
Target entity description: Chut language is a Vietic language spoken by the Chut ethnic group in parts of central Vietnam.
  • A. Chuwabu language
    The Chuwabu language is a Bantu language spoken in Mozambique, closely related to other Makua languages and used primarily by the Chuwabu people.
  • B. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • C. Cham language
    Cham language is an Austronesian language historically spoken by the Cham people of mainland Southeast Asia, particularly in present-day Vietnam and Cambodia.
  • D. Kutu language
    The Kutu language is a Bantu language spoken by the Kutu people of central Tanzania, belonging to the Northeast Coast Bantu subgroup.
  • E. Changana language
    Changana is a Bantu language spoken primarily in southern Mozambique and neighboring regions, closely related to other Tswa–Ronga varieties.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69cfecf7fce08190a9b80044a2ae9745 completed April 3, 2026, 4:38 p.m.
NED2 Entity disambiguation (via description) batch_69cff0ea8c388190bd95233db9c69038 completed April 3, 2026, 4:55 p.m.
Created at: March 30, 2026, 7:10 p.m.