Triple

T7891799
Position Surface form Disambiguated ID Type / Status
Subject AB InBev E183252 entity
Predicate brand P1500 FINISHED
Object Victoria
Victoria is a popular Mexican lager beer brand owned by global brewing company AB InBev.
 E703555 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: [AB InBev, brand, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victoria
Context triple: [AB InBev, brand, 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 is a coastal city on the southern tip of Vancouver Island known for its historic architecture, mild climate, and vibrant tourism industry.
  • C. Victoria
    Victoria is a vengeful vampire antagonist from the Twilight series who relentlessly hunts Bella Swan and opposes the Cullen family.
  • D. Victoria
    Victoria is a British historical drama television series that chronicles the early life and reign of Queen Victoria.
  • E. Victoria
    Victoria was a German princess of Saxe-Coburg-Saalfeld best known as the mother of Queen Victoria of the United Kingdom.
  • 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: [AB InBev, brand, Victoria]
Generated description
Victoria is a popular Mexican lager beer brand owned by global brewing company AB InBev.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Victoria
Target entity description: Victoria is a popular Mexican lager beer brand owned by global brewing company AB InBev.
  • A. Victoria
    Victoria is a city in Chile’s Araucanía Region known for its agricultural economy and role as a local commercial and services hub.
  • B. Victoria
    Victoria is a coastal city on the southern tip of Vancouver Island known for its historic architecture, mild climate, and vibrant tourism industry.
  • C. Victoria
    Victoria was the former frequent-flyer loyalty program of TAP Air Portugal, offering mileage accrual and redemption benefits to the airline’s customers.
  • D. Victoria
    Victoria is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and agricultural economy.
  • E. Victoria
    Victoria is a municipality and town located in the Caldas Department of central Colombia.
  • F. None of above. chosen

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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39fef2e48190a6282c217c33c57a completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdee0fddc819086a5736f1a709865 completed March 31, 2026, 2:49 p.m.
NEDg Description generation batch_69cbe4cf113481908877091f21607978 completed March 31, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69cc33163ac8819090ec53058a78ef13 completed March 31, 2026, 8:48 p.m.
Created at: March 30, 2026, 5 p.m.