Triple

T19118731
Position Surface form Disambiguated ID Type / Status
Subject ISO 14097 E467978 entity
Predicate intendedUser P9494 FINISHED
Object Banks
Banks are financial institutions that accept deposits, provide loans, and offer a range of financial services to individuals, businesses, and governments, playing a central role in the global economy and financial system.
 E1359287 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: Banks | Statement: [ISO 14097, intendedUser, Banks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banks
Context triple: [ISO 14097, intendedUser, Banks]
  • A. Banks
    Banks is a small village in Lancashire, England, known for its rural character and proximity to the town of Tarleton.
  • B. Banks
    Banks is an Australian federal electoral division in New South Wales that includes suburbs such as Hurstville in Sydney’s south.
  • C. Banks
    Banks is a residential suburb in the Tuggeranong district of Canberra, Australian Capital Territory.
  • D. Banks
    Banks is a common English surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • E. Bank
    Bank is a major London Underground and rail interchange in the City of London, serving as a key hub for financial district commuters.
  • 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: Banks
Triple: [ISO 14097, intendedUser, Banks]
Generated description
Banks are financial institutions that accept deposits, provide loans, and offer a range of financial services to individuals, businesses, and governments, playing a central role in the global economy and financial system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banks
Target entity description: Banks are financial institutions that accept deposits, provide loans, and offer a range of financial services to individuals, businesses, and governments, playing a central role in the global economy and financial system.
  • A. Banks
    Banks is a common English surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • B. Banks
    Banks is a small village in Lancashire, England, known for its rural character and proximity to the town of Tarleton.
  • C. Banks
    Banks is a residential suburb in the Tuggeranong district of Canberra, Australian Capital Territory.
  • D. Banks
    Banks is an Australian federal electoral division in New South Wales that includes suburbs such as Hurstville in Sydney’s south.
  • E. Bank
    Bank is a major London Underground and rail interchange in the City of London, serving as a key hub for financial district commuters.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c756a88190942930e6ae7242a7 completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e671f2988190a74d53989124026b completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e9406ba48190a50f4ea6b413e1f4 completed May 14, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a05e9c0d35081909b6ce3c287af5d5f completed May 14, 2026, 3:26 p.m.
Created at: April 10, 2026, 12:05 p.m.