Triple

T11163571
Position Surface form Disambiguated ID Type / Status
Subject Yamatji people E264102 entity
Predicate hasLanguage P15 FINISHED
Object Nhanda language
The Nhanda language is an Australian Aboriginal language traditionally spoken by the Yamatji people of Western Australia.
E909323 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: Nhanda language | Statement: [Yamatji people, hasLanguage, Nhanda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nhanda language
Context triple: [Yamatji people, hasLanguage, Nhanda language]
  • A. Mandeali language
    Mandeali language is an Indo-Aryan language spoken primarily in the Mandi region of Himachal Pradesh, India.
  • B. Manda language
    The Manda language is a South-Central Dravidian language spoken by the Manda people in parts of eastern India, known for its endangered status and limited number of speakers.
  • C. Nambya language
    Nambya is a Bantu language spoken primarily in northwestern Zimbabwe and northeastern Botswana, closely related to Kalanga and used by the Nambya people.
  • D. Mandar language
    Mandar is an Austronesian language spoken primarily by the Mandar people along the western coast of Sulawesi in Indonesia.
  • E. Nandi language
    The Nandi language is a Southern Nilotic language spoken primarily by the Nandi people of Kenya, closely related to other Kalenjin languages.
  • 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: Nhanda language
Triple: [Yamatji people, hasLanguage, Nhanda language]
Generated description
The Nhanda language is an Australian Aboriginal language traditionally spoken by the Yamatji people of Western Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nhanda language
Target entity description: The Nhanda language is an Australian Aboriginal language traditionally spoken by the Yamatji people of Western Australia.
  • A. Mandeali language
    Mandeali language is an Indo-Aryan language spoken primarily in the Mandi region of Himachal Pradesh, India.
  • B. Manda language
    The Manda language is a South-Central Dravidian language spoken by the Manda people in parts of eastern India, known for its endangered status and limited number of speakers.
  • C. Nambya language
    Nambya is a Bantu language spoken primarily in northwestern Zimbabwe and northeastern Botswana, closely related to Kalanga and used by the Nambya people.
  • D. Mandar language
    Mandar is an Austronesian language spoken primarily by the Mandar people along the western coast of Sulawesi in Indonesia.
  • E. Nandi language
    The Nandi language is a Southern Nilotic language spoken primarily by the Nandi people of Kenya, closely related to other Kalenjin languages.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8832fe88190a74d81f9ed547baa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463851a348190a9a8bd1501026d83 completed April 19, 2026, 5:09 a.m.
NEDg Description generation batch_69e46c374ca08190a876ee68dea9b821 completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e4747bc02c81908f0782cf85667f3f completed April 19, 2026, 6:21 a.m.
Created at: April 8, 2026, 9:29 p.m.