Triple

T20023754
Position Surface form Disambiguated ID Type / Status
Subject Federal Employees Liability Reform and Tort Compensation Act E494923 entity
Predicate typeOfLiabilityAddressed P75181 FINISHED
Object common-law tort liability LITERAL 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: common-law tort liability | Statement: [Federal Employees Liability Reform and Tort Compensation Act, typeOfLiabilityAddressed, common-law tort liability]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfLiabilityAddressed
Context triple: [Federal Employees Liability Reform and Tort Compensation Act, typeOfLiabilityAddressed, common-law tort liability]
  • A. liabilityType chosen
    Indicates the specific category or nature of liability associated with an entity, obligation, or financial exposure.
  • B. establishesLiabilityFor
    Indicates that one party is held legally responsible or accountable for a particular act, omission, or outcome.
  • C. typeOfClaim
    Indicates the specific category or nature of a claim being made in relation to an entity or statement.
  • D. carrierLiabilityType
    Indicates the specific type or category of legal or contractual liability that a carrier assumes in relation to the goods or services it transports or provides.
  • E. mayBeSuedUnder
    Indicates that one entity is legally subject to being sued or brought to court under a specified law, statute, or legal framework by another entity.
  • F. None of above.

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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628a1ecc8190bf6ee0bedb61e0b8 completed April 20, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69e54ce752748190a0a1ffddd0372271 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:35 p.m.