Triple

T3523981
Position Surface form Disambiguated ID Type / Status
Subject Henry Willis & Co. E74493 entity
Predicate associatedWith P37 FINISHED
Object Lloyd's of London E104186 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: Lloyd's of London | Statement: [Henry Willis & Co., associatedWith, Lloyd's of London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lloyd's of London
Context triple: [Henry Willis & Co., associatedWith, Lloyd's of London]
  • A. Lloyd’s of London chosen
    Lloyd’s of London is a renowned specialist insurance and reinsurance market where multiple financial backers, grouped in syndicates, come together to pool and spread risk globally.
  • B. Munich Re
    Munich Re is a leading global reinsurance company based in Germany, known for providing risk management and insurance solutions worldwide.
  • C. Pool of London
    The Pool of London is a historic stretch of the River Thames in central London that long served as a key anchorage and trading hub for the city’s port.
  • D. Swiss Re
    Swiss Re is a leading global reinsurance company headquartered in Zurich, Switzerland, providing risk transfer and insurance solutions worldwide.
  • E. Samsung Fire & Marine Insurance
    Samsung Fire & Marine Insurance is a major South Korean non-life insurance company offering a wide range of property, casualty, and marine insurance services.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc68b15881909b407486946ec3c5 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8ae87481909eabd5847fbfa617 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.