Triple

T38052043
Position Surface form Disambiguated ID Type / Status
Subject Innawonga people E949789 entity
Predicate associatedWithLanguage P2830 FINISHED
Object Yinhawangka language
The Yinhawangka language is an Australian Aboriginal language traditionally spoken by the Yinhawangka (Innawonga) people of the Pilbara region in Western Australia.
E2280271 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: Yinhawangka language | Statement: [Innawonga people, associatedWithLanguage, Yinhawangka 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: Yinhawangka language
Triple: [Innawonga people, associatedWithLanguage, Yinhawangka language]
Generated description
The Yinhawangka language is an Australian Aboriginal language traditionally spoken by the Yinhawangka (Innawonga) people of the Pilbara region in Western Australia.

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_69f76f000cf081908c11fb5443b392e6 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbca0014788190aaed8b96a6eeb6a4 completed May 6, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd40fcbc81908d3743c870e7485c completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fe7dea008190bdba31dec4813e69 completed June 29, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a41ff38219081908809f9918423dd0b completed June 29, 2026, 5:14 a.m.
Created at: May 3, 2026, 4:20 p.m.