Triple

T15231497
Position Surface form Disambiguated ID Type / Status
Subject Clerical Medical E364012 entity
Predicate parentCompany P254 FINISHED
Object HBOS E74060 NE FINISHED

How this triple was built (2 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: HBOS | Statement: [Clerical Medical, parentCompany, HBOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HBOS
Context triple: [Clerical Medical, parentCompany, HBOS]
  • A. HBOS chosen
    HBOS was a major UK banking and insurance group formed in 2001 by the merger of Halifax and Bank of Scotland, later acquired by Lloyds TSB during the 2008 financial crisis.
  • B. Nationwide Building Society
    Nationwide Building Society is a major UK mutual financial institution offering banking and mortgage services to its members.
  • C. HSBC UK
    HSBC UK is the British retail and commercial banking arm of HSBC, offering a wide range of financial services to individuals and businesses across the United Kingdom.
  • D. Lloyds Banking Group
    Lloyds Banking Group is a major UK-based financial services company that operates several well-known banking brands and provides retail, commercial, and insurance services.
  • E. Landsec
    Landsec is one of the largest commercial property development and investment companies in the United Kingdom, known for owning and managing major retail and office destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078e27408190bc13c0ca441f5594 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3beae88190a91af2c9a7def8f8 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.