Triple

T11133013
Position Surface form Disambiguated ID Type / Status
Subject Victoria of France E263334 entity
Predicate givenName P17 FINISHED
Object Victoria
Victoria is a feminine given name of Latin origin, widely used in many countries and associated with notions of victory and royalty.
E134198 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: [Victoria of France, givenName, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria
Context triple: [Victoria of France, givenName, 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 residential neighbourhood within the town of Burgess Hill in West Sussex, England.
  • D. Victoria
    Victoria is a small industrial town in central Romania, located in Brașov County near the Făgăraș Mountains.
  • E. Victoria
    Victoria is the birth name of American singer-songwriter Tori Kelly, known for her powerful vocals and blend of pop, R&B, and gospel influences.
  • 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: [Victoria of France, givenName, Victoria]
Generated description
Victoria is a feminine given name of Latin origin, widely used in many countries and associated with notions of victory and royalty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victoria
Target entity description: Victoria is a feminine given name of Latin origin, widely used in many countries and associated with notions of victory and royalty.
  • A. Victoria chosen
    Victoria is a feminine given name of Latin origin meaning "victory," borne by numerous notable figures including queens, saints, and public personalities.
  • B. Victoria
    Victoria is the Roman goddess of victory, often depicted as a winged female figure symbolizing triumph and success.
  • C. Victoria
    Victoria was the long-reigning 19th-century British queen whose era saw vast industrial, cultural, and imperial expansion.
  • D. Victoria
    Victoria is the birth name of American singer-songwriter Tori Kelly, known for her powerful vocals and blend of pop, R&B, and gospel influences.
  • E. Victoria
    Victoria is a Canadian national honour recognizing outstanding achievement and service, associated with the motto of the Order of Canada (CVO).
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441b1b4dc8190a572d4d6269540cd completed April 19, 2026, 2:45 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.