Triple

T35588951
Position Surface form Disambiguated ID Type / Status
Subject Kurralta Park E1028437 entity
Predicate hasShoppingCentre P4285 FINISHED
Object Kurralta Park Shopping Centre
Kurralta Park Shopping Centre is a local retail complex in the Adelaide suburb of Kurralta Park, featuring a range of everyday shops and services for the surrounding community.
E2148194 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: Kurralta Park Shopping Centre | Statement: [Kurralta Park, hasShoppingCentre, Kurralta Park Shopping 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: Kurralta Park Shopping Centre
Triple: [Kurralta Park, hasShoppingCentre, Kurralta Park Shopping Centre]
Generated description
Kurralta Park Shopping Centre is a local retail complex in the Adelaide suburb of Kurralta Park, featuring a range of everyday shops and services for the surrounding community.

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_69f76e0495a081909beced418558c0b4 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79e8a9aec8190b78a30129a576605 completed May 3, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bd8f22481908395e3f12b7cd6db completed June 21, 2026, 9:47 p.m.
NEDg Description generation batch_6a385ca70cc08190abfd88ab51828c9f completed June 21, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a385d6d137c8190854b4078389e3016 completed June 21, 2026, 9:53 p.m.
Created at: May 3, 2026, 4:05 p.m.