Triple

T36801009
Position Surface form Disambiguated ID Type / Status
Subject Aboriginal peoples of Western Australia E909321 entity
Predicate hasPart P35 FINISHED
Object Nyoongar people
The Nyoongar people are an Aboriginal Australian group from the south-west corner of Western Australia, with a distinct language, culture, and deep spiritual connection to their traditional lands.
E2290227 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: Nyoongar people | Statement: [Aboriginal peoples of Western Australia, hasPart, Nyoongar people]
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: Nyoongar people
Triple: [Aboriginal peoples of Western Australia, hasPart, Nyoongar people]
Generated description
The Nyoongar people are an Aboriginal Australian group from the south-west corner of Western Australia, with a distinct language, culture, and deep spiritual connection to their traditional lands.

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_69f76e7b98888190899b6478a82ad6ae completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca32c220819089d58d30fcfac22d completed May 3, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5babfbbcc081909bf5ba37ff1064ec completed July 18, 2026, 4:38 p.m.
NEDg Description generation batch_6a5bacdcf6bc8190bbe6bd18850a4b31 completed July 18, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a5bad2cd3d081909e8f0d147b5181b5 completed July 18, 2026, 4:43 p.m.
Created at: May 3, 2026, 4:12 p.m.