Triple

T37022390
Position Surface form Disambiguated ID Type / Status
Subject Ardyaloon E916256 entity
Predicate culturalRegion P1968 FINISHED
Object Bardi Jawi country
Bardi Jawi country is the traditional coastal and island homeland of the Bardi and Jawi Aboriginal peoples in the Dampier Peninsula region of Western Australia.
E2209176 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: Bardi Jawi country | Statement: [Ardyaloon, culturalRegion, Bardi Jawi country]
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: Bardi Jawi country
Triple: [Ardyaloon, culturalRegion, Bardi Jawi country]
Generated description
Bardi Jawi country is the traditional coastal and island homeland of the Bardi and Jawi Aboriginal peoples in the Dampier Peninsula region of 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_69f76e920dc48190acb6bb7ebc4dffab completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fa009279408190b23be57a103ac0d1 completed May 5, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e577900f481909f26893397c5026e completed June 26, 2026, 10:42 a.m.
NEDg Description generation batch_6a3e582b14f48190965bd9f10b1b3f1a completed June 26, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_6a3e82f3722481909ea787f30e07b8b0 completed June 26, 2026, 1:47 p.m.
Created at: May 3, 2026, 4:14 p.m.