Triple

T1343454
Position Surface form Disambiguated ID Type / Status
Subject Aviva Stadium E28516 entity
Predicate sponsor P67 FINISHED
Object Aviva
Aviva is a major multinational insurance company headquartered in the United Kingdom, offering life, general, and health insurance as well as asset management services.
 E154074 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: Aviva | Statement: [Aviva Stadium, sponsor, Aviva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aviva
Context triple: [Aviva Stadium, sponsor, Aviva]
  • A. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • B. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • C. Rona
    Rona is a small, sparsely populated Scottish island located off the coast of the Isle of Skye, known for its rugged landscape and wildlife.
  • D. Reva
    Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
  • E. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • 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: Aviva
Triple: [Aviva Stadium, sponsor, Aviva]
Generated description
Aviva is a major multinational insurance company headquartered in the United Kingdom, offering life, general, and health insurance as well as asset management services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aviva
Target entity description: Aviva is a major multinational insurance company headquartered in the United Kingdom, offering life, general, and health insurance as well as asset management services.
  • A. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • B. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • C. Rona
    Rona is a small, sparsely populated Scottish island located off the coast of the Isle of Skye, known for its rugged landscape and wildlife.
  • D. Reva
    Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
  • E. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23b8a9081908b78405d4ef806af completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc632cbc88190a64897f1b101c699 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6dbd80881908d640ee204ce9a12 completed March 8, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69acc8199f508190a86c18ad9085d341 completed March 8, 2026, 12:51 a.m.
Created at: March 1, 2026, 7:56 p.m.