Triple

T35779490
Position Surface form Disambiguated ID Type / Status
Subject Kanangra Deep E1034396 entity
Predicate locatedIn P40 FINISHED
Object Kanangra-Boyd region
The Kanangra-Boyd region is a rugged wilderness area in New South Wales, Australia, known for its dramatic sandstone plateaus, deep gorges, and extensive national park landscapes within the Greater Blue Mountains World Heritage Area.
E2164867 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: Kanangra-Boyd region | Statement: [Kanangra Deep, locatedIn, Kanangra-Boyd 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: Kanangra-Boyd region
Triple: [Kanangra Deep, locatedIn, Kanangra-Boyd region]
Generated description
The Kanangra-Boyd region is a rugged wilderness area in New South Wales, Australia, known for its dramatic sandstone plateaus, deep gorges, and extensive national park landscapes within the Greater Blue Mountains World Heritage Area.

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_69f76e14a1e081908eddd57bd6fdb3be completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1fdf0408190a0e08958c4d5ad52 completed May 3, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38bfc0bc5081908e8608d58fd66b60 completed June 22, 2026, 4:53 a.m.
NEDg Description generation batch_6a38c0a8a0908190a845f3f6e7040e1e completed June 22, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a38c164f0e88190bef255d462f21732 completed June 22, 2026, 5 a.m.
Created at: May 3, 2026, 4:06 p.m.