Triple

T37073720
Position Surface form Disambiguated ID Type / Status
Subject Wayilwan language E917651 entity
Predicate traditionalSpeakers P28395 FINISHED
Object Wayilwan people
The Wayilwan people are an Aboriginal Australian group traditionally associated with a distinct cultural heritage, language, and ancestral lands in New South Wales.
E2275502 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: Wayilwan people | Statement: [Wayilwan language, traditionalSpeakers, Wayilwan 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: Wayilwan people
Triple: [Wayilwan language, traditionalSpeakers, Wayilwan people]
Generated description
The Wayilwan people are an Aboriginal Australian group traditionally associated with a distinct cultural heritage, language, and ancestral lands in New South Wales.

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_69f76e9771e08190a690834e3cd20654 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2f962ec881908dd93add353e44a6 completed May 6, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ea7000008190a5f26bf2a7344391 completed June 29, 2026, 3:45 a.m.
NEDg Description generation batch_6a41eb4f26e481908d2c85e0d36444e2 completed June 29, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a41ebd8d4148190a712fe2913933df7 completed June 29, 2026, 3:51 a.m.
Created at: May 3, 2026, 4:14 p.m.