Triple

T17297620
Position Surface form Disambiguated ID Type / Status
Subject Patricia Bay Airport E419952 entity
Predicate locatedNear P294 FINISHED
Object Victoria
Victoria is the capital city of the Canadian province of British Columbia, known for its historic architecture, coastal scenery, and mild climate.
E145661 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: [Patricia Bay Airport, locatedNear, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria
Context triple: [Patricia Bay Airport, locatedNear, 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: [Patricia Bay Airport, locatedNear, Victoria]
Generated description
Victoria is the capital city of the Canadian province of British Columbia, known for its historic architecture, coastal scenery, and mild climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victoria
Target entity description: Victoria is the capital city of the Canadian province of British Columbia, known for its historic architecture, coastal scenery, and mild climate.
  • A. Victoria chosen
    Victoria is a coastal city on the southern tip of Vancouver Island known for its historic architecture, mild climate, and vibrant tourism industry.
  • 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 southeastern Australian state known for its capital city Melbourne, cultural diversity, and varied landscapes ranging from coastal regions to alpine areas.
  • 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 central London district known for its major transport hub, theatres, offices, and proximity to landmarks like Buckingham Palace.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f82788819088ea796850552297 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c425b2081909f1e339f9c2e9cc7 completed May 11, 2026, 7:58 a.m.
NEDg Description generation batch_6a018d1601208190acd755618c6c939e completed May 11, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_6a018e0400888190a4eb8fa418517ac5 completed May 11, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:41 a.m.