Triple

T16683233
Position Surface form Disambiguated ID Type / Status
Subject Warrnambool Campus E405391 entity
Predicate state P87 FINISHED
Object Victoria
Victoria is a southeastern Australian state known for its capital city Melbourne, diverse landscapes, and significant cultural and educational institutions.
E20514 NE FINISHED

How this triple was built (4 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: [Warrnambool Campus, state, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria
Context triple: [Warrnambool Campus, state, Victoria]
  • A. Victoria
    Victoria is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and agricultural economy.
  • B. Victoria
    Victoria was the Spanish carrack that became the first ship to successfully circumnavigate the globe during Ferdinand Magellan’s expedition.
  • C. Victoria
    Victoria is a central London district known for its major transport hub, theatres, offices, and proximity to landmarks like Buckingham Palace.
  • D. Victoria
    Victoria is a residential neighbourhood within the town of Burgess Hill in West Sussex, England.
  • E. Victoria
    Victoria is a small industrial town in central Romania, located in Brașov County near the Făgăraș Mountains.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: [Warrnambool Campus, state, Victoria]
Generated description
Victoria is a southeastern Australian state known for its capital city Melbourne, diverse landscapes, and significant cultural and educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victoria
Target entity description: Victoria is a southeastern Australian state known for its capital city Melbourne, diverse landscapes, and significant cultural and educational institutions.
  • A. Victoria chosen
    Victoria is a southeastern Australian state known for its capital city Melbourne, cultural diversity, and varied landscapes ranging from coastal regions to alpine areas.
  • B. Victoria
    Victoria is a major city in southeastern Australia and the capital of the state of Victoria, known for its rich cultural scene, historic architecture, and status as a key economic and population center.
  • C. Victoria
    Victoria is a coastal city on the southern tip of Vancouver Island known for its historic architecture, mild climate, and vibrant tourism industry.
  • D. Victoria
    Victoria is a riverside city in the Argentine province of Entre Ríos, known for its historic architecture and proximity to the Paraná River delta.
  • E. Victoria
    Victoria is a city in Chile’s Araucanía Region known for its agricultural economy and role as a local commercial and services hub.
  • F. None of above.

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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d70d3f8819087d1bd700c94a83f completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a296a7481908aca94cf3d1f8d3b completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008df3f8d48190a12d73f92fe97b41 completed May 10, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a008ed7e0588190bce6ac43a01fcd69 completed May 10, 2026, 1:57 p.m.
Created at: April 10, 2026, 5:19 a.m.