Triple

T34576941
Position Surface form Disambiguated ID Type / Status
Subject Footscray, Victoria, Australia E887783 entity
Predicate hasLandmark P105 FINISHED
Object Heavenly Queen Temple
Heavenly Queen Temple is a major Chinese Buddhist and Taoist temple in Footscray, Victoria, dedicated to the sea goddess Mazu and serving as a cultural and religious hub for Melbourne’s Chinese community.
E2102704 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: Heavenly Queen Temple | Statement: [Footscray, Victoria, Australia, hasLandmark, Heavenly Queen Temple]
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: Heavenly Queen Temple
Triple: [Footscray, Victoria, Australia, hasLandmark, Heavenly Queen Temple]
Generated description
Heavenly Queen Temple is a major Chinese Buddhist and Taoist temple in Footscray, Victoria, dedicated to the sea goddess Mazu and serving as a cultural and religious hub for Melbourne’s Chinese 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_69f349d1a5fc81908557a46875b2f157 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7209a5fc88190958c69c918d9c02f completed May 3, 2026, 10:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a373634abcc8190a92413433465f223 completed June 21, 2026, 12:54 a.m.
NEDg Description generation batch_6a37376bc85c81908a7f4d1f2001dfaa completed June 21, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_6a37381f06a081908f3e37c1dbb996d7 completed June 21, 2026, 1:02 a.m.
Created at: May 1, 2026, 2:03 a.m.