Triple

T25041640
Position Surface form Disambiguated ID Type / Status
Subject Gurrumul E627129 entity
Predicate languageOfWorkOrName P15 FINISHED
Object Djambarrpuyngu language
The Djambarrpuyngu language is a Yolŋu Aboriginal language of northeast Arnhem Land in Australia, notable for its rich oral traditions and use in the songs of musician Geoffrey Gurrumul Yunupingu.
E1704375 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: Djambarrpuyngu language | Statement: [Gurrumul, languageOfWorkOrName, Djambarrpuyngu language]
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: Djambarrpuyngu language
Triple: [Gurrumul, languageOfWorkOrName, Djambarrpuyngu language]
Generated description
The Djambarrpuyngu language is a Yolŋu Aboriginal language of northeast Arnhem Land in Australia, notable for its rich oral traditions and use in the songs of musician Geoffrey Gurrumul Yunupingu.

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_69e2ff2b4c80819087c916b2b16241b9 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f4530c59688190a7006c6948cc7073 completed May 1, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a110742659481909d5be24291afb417 completed May 23, 2026, 1:47 a.m.
NEDg Description generation batch_6a11095d758081908c89cf2a23c09200 completed May 23, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a1109bfbd98819083c80056eb190bc4 completed May 23, 2026, 1:58 a.m.
Created at: April 18, 2026, 6:08 a.m.