Triple

T28946554
Position Surface form Disambiguated ID Type / Status
Subject Surveyor-General of Victoria E730594 entity
Predicate locatedInTheAdministrativeTerritorialEntity P40 FINISHED
Object Victoria
Victoria is a state in southeastern Australia known for its capital city Melbourne, cultural diversity, and significant economic and political influence within the country.
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: [Surveyor-General of Victoria, locatedInTheAdministrativeTerritorialEntity, 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: [Surveyor-General of Victoria, locatedInTheAdministrativeTerritorialEntity, Victoria]
Generated description
Victoria is a state in southeastern Australia known for its capital city Melbourne, cultural diversity, and significant economic and political influence within the country.

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_69f043ea0aa88190a25acbf46157995a completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65b8710908190b3746b9a711484b3 completed May 2, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f57cbf88190ad1f95cfa7fcca03 completed June 7, 2026, 7:35 a.m.
NEDg Description generation batch_6a25233346e08190ae8ddd961a7a0aa6 completed June 7, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_6a2524e8046c81908ce1d256c4efe3d5 completed June 7, 2026, 7:59 a.m.
Created at: April 28, 2026, 8:40 a.m.