Triple

T36032028
Position Surface form Disambiguated ID Type / Status
Subject Gilles Plains E1042288 entity
Predicate hasShoppingCentre P4285 FINISHED
Object Gilles Plains Shopping Centre
Gilles Plains Shopping Centre is a suburban retail complex in Gilles Plains, South Australia, featuring a range of supermarkets, specialty stores, and essential services for the local community.
E2168806 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: Gilles Plains Shopping Centre | Statement: [Gilles Plains, hasShoppingCentre, Gilles Plains 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: Gilles Plains Shopping Centre
Triple: [Gilles Plains, hasShoppingCentre, Gilles Plains Shopping Centre]
Generated description
Gilles Plains Shopping Centre is a suburban retail complex in Gilles Plains, South Australia, featuring a range of supermarkets, specialty stores, and essential services for the local 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_69f76e2c568881909e1e21f85252b0f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ad184e888190a045e04dbd191820 completed May 3, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d52f6790819089af1b2eefd7c6b8 completed June 22, 2026, 6:24 a.m.
NEDg Description generation batch_6a38d5fbbf84819083a18d64edddbbe6 completed June 22, 2026, 6:28 a.m.
NED2 Entity disambiguation (via description) batch_6a38d69d54f48190b43baa60bfa8fe85 completed June 22, 2026, 6:30 a.m.
Created at: May 3, 2026, 4:07 p.m.