Triple

T34996312
Position Surface form Disambiguated ID Type / Status
Subject Westfield Sydney Tower E1009539 entity
Predicate partOf P40 FINISHED
Object Westfield Sydney shopping centre
Westfield Sydney shopping centre is a major multi-level retail and dining complex in the heart of Sydney’s central business district, known for its upscale stores and integration with the Sydney Tower precinct.
E2120763 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: Westfield Sydney shopping centre | Statement: [Westfield Sydney Tower, partOf, Westfield Sydney 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: Westfield Sydney shopping centre
Triple: [Westfield Sydney Tower, partOf, Westfield Sydney shopping centre]
Generated description
Westfield Sydney shopping centre is a major multi-level retail and dining complex in the heart of Sydney’s central business district, known for its upscale stores and integration with the Sydney Tower precinct.

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_69f76dca50dc8190b71f39defe186be8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f784c2da7481909b1411faef197e97 completed May 3, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b28db2e481909a18a151c12fc17b completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b3b401f08190bab5b2b591ddf163 completed June 21, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_6a37b5345c088190b28e008ba62610da completed June 21, 2026, 9:56 a.m.
Created at: May 3, 2026, 4:01 p.m.