Triple

T35533174
Position Surface form Disambiguated ID Type / Status
Subject Kangaroo Valley E1026858 entity
Predicate hasLandmark P105 FINISHED
Object Kangaroo Valley Village Centre
Kangaroo Valley Village Centre is the main commercial and social hub of Kangaroo Valley, featuring shops, cafes, and services that cater to locals and visitors.
E1026858 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: Kangaroo Valley Village Centre | Statement: [Kangaroo Valley, hasLandmark, Kangaroo Valley Village Centre]
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: Kangaroo Valley Village Centre
Triple: [Kangaroo Valley, hasLandmark, Kangaroo Valley Village Centre]
Generated description
Kangaroo Valley Village Centre is the main commercial and social hub of Kangaroo Valley, featuring shops, cafes, and services that cater to locals and visitors.

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_69f76dff7e508190b28ceeee770dce23 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f797d2da188190813233b0489cf62d completed May 3, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a384a4b03088190b93a018bc93b53c8 completed June 21, 2026, 8:32 p.m.
NEDg Description generation batch_6a384b14247c81909c691fbbfad22c79 completed June 21, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_6a384b9c09d88190afb8dc6aeb098dbe completed June 21, 2026, 8:37 p.m.
Created at: May 3, 2026, 4:04 p.m.