Triple

T35779498
Position Surface form Disambiguated ID Type / Status
Subject Kanangra Deep E1034396 entity
Predicate partOf P40 FINISHED
Object Kanangra Creek catchment
The Kanangra Creek catchment is a rugged, largely wilderness river basin in New South Wales’ Greater Blue Mountains region, known for its deep gorges, remote canyons, and protected natural landscapes.
 E2154522 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 Creek catchment | Statement: [Kanangra Deep, partOf, Kanangra Creek catchment]
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 Creek catchment
Triple: [Kanangra Deep, partOf, Kanangra Creek catchment]
Generated description
The Kanangra Creek catchment is a rugged, largely wilderness river basin in New South Wales’ Greater Blue Mountains region, known for its deep gorges, remote canyons, and protected natural landscapes.

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_6a3886079c088190808704e3dd2877f2 completed June 22, 2026, 12:47 a.m.
NEDg Description generation batch_6a3887079b888190b35993aa0aa2e1e2 completed June 22, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_6a38879e7d6c8190b6f7269df6c5d5e1 completed June 22, 2026, 12:53 a.m.
Created at: May 3, 2026, 4:06 p.m.