Triple

T31654240
Position Surface form Disambiguated ID Type / Status
Subject Jaudjibara E807816 entity
Predicate traditionalOwnerOf P14954 FINISHED
Object Broome region
The Broome region is a coastal area in northwestern Western Australia known for its rich Aboriginal heritage, including the Jaudjibara people, and its distinctive landscapes of red cliffs, white beaches, and turquoise waters.
E56143 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: Broome region | Statement: [Jaudjibara, traditionalOwnerOf, Broome region]
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: Broome region
Triple: [Jaudjibara, traditionalOwnerOf, Broome region]
Generated description
The Broome region is a coastal area in northwestern Western Australia known for its rich Aboriginal heritage, including the Jaudjibara people, and its distinctive landscapes of red cliffs, white beaches, and turquoise waters.

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_69f348daf95c81908b4c985b7ddcd0b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a95d3c288190b35ac9395b4cc633 completed May 3, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d3c2650819083be5160dcc09d16 completed June 13, 2026, 6:11 p.m.
NEDg Description generation batch_6a2d9df2b8bc81909145216bf1bea8f6 completed June 13, 2026, 6:14 p.m.
NED2 Entity disambiguation (via description) batch_6a2d9eb095408190a454afb237e14476 completed June 13, 2026, 6:17 p.m.
Created at: April 30, 2026, 10:54 p.m.