Triple

T35185332
Position Surface form Disambiguated ID Type / Status
Subject Traditional Owners of Kakadu E1015968 entity
Predicate includeLanguageGroup P3349 FINISHED
Object Wurrkbarbar
Wurrkbarbar is an Aboriginal Australian language group recognized as one of the Traditional Owners of the Kakadu region in the Northern Territory.
E2130131 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: Wurrkbarbar | Statement: [Traditional Owners of Kakadu, includeLanguageGroup, Wurrkbarbar]
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: Wurrkbarbar
Triple: [Traditional Owners of Kakadu, includeLanguageGroup, Wurrkbarbar]
Generated description
Wurrkbarbar is an Aboriginal Australian language group recognized as one of the Traditional Owners of the Kakadu region in the Northern Territory.

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_69f76ddd815c8190b822eea06630f9fb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a03809a38c08190b5a19a0c05c25346 completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37fb1e426c8190bcd533b6419a4e31 completed June 21, 2026, 2:54 p.m.
NEDg Description generation batch_6a37fbbd300c8190bae8823437872acf completed June 21, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_6a37fc89209881909d5078466a1b8f3f completed June 21, 2026, 3 p.m.
Created at: May 3, 2026, 4:02 p.m.