Triple

T25207739
Position Surface form Disambiguated ID Type / Status
Subject Australian Centre for Contemporary Art E631297 entity
Predicate regionServed P82 FINISHED
Object Victoria
Victoria is a southeastern Australian state that includes the capital city Melbourne and is known for its cultural institutions, diverse landscapes, and significant role in the nation’s economy and arts.
E20514 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: Victoria | Statement: [Australian Centre for Contemporary Art, regionServed, Victoria]
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: Victoria
Triple: [Australian Centre for Contemporary Art, regionServed, Victoria]
Generated description
Victoria is a southeastern Australian state that includes the capital city Melbourne and is known for its cultural institutions, diverse landscapes, and significant role in the nation’s economy and arts.

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_69e75a8b86c4819089eda22c843b739f completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f474bda9288190947d325fe514571d completed May 1, 2026, 9:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1067a7cc648190ac370f3e085ea1d7 completed May 22, 2026, 2:26 p.m.
NEDg Description generation batch_6a106b951c648190aa4315d4aa7e9247 completed May 22, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a106bf55d0c819097aeab7a64aa1ae9 completed May 22, 2026, 2:45 p.m.
Created at: April 21, 2026, 12:52 p.m.