Triple

T23300985
Position Surface form Disambiguated ID Type / Status
Subject Spartan Steel & Alloys Ltd v Martin & Co (Contractors) Ltd E590300 entity
Predicate categoryOfLossRecoverable P151778 FINISHED
Object physical damage to property 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: physical damage to property | Statement: [Spartan Steel & Alloys Ltd v Martin & Co (Contractors) Ltd, categoryOfLossRecoverable, physical damage to property]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: categoryOfLossRecoverable
Context triple: [Spartan Steel & Alloys Ltd v Martin & Co (Contractors) Ltd, categoryOfLossRecoverable, physical damage to property]
  • A. designedToRecover
    Indicates that something is intentionally created or configured for the purpose of regaining a prior state, condition, or resource after loss, damage, or failure.
  • B. causedLossOf
    Indicates that one entity brought about or was responsible for another entity experiencing a loss.
  • C. managedLossesRecord
    Indicates that an entity maintains or oversees a record documenting losses that have been managed or handled.
  • D. canBeLostBy
    Indicates that something is capable of being lost or forfeited by a particular entity.
  • E. regionOfLoss
    Indicates the anatomical or spatial area where a loss, damage, or deficit occurs or is localized.
  • F. None of above. chosen

Provenance (4 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196d37fd08190ad2d199c54324c02 completed April 29, 2026, 5:27 a.m.
PD Predicate disambiguation batch_69effcf325f88190b320268c3c551abb completed April 28, 2026, 12:18 a.m.
PDg Predicate description generation batch_69f01d88b4ec8190a2a17a88e0eda178 completed April 28, 2026, 2:38 a.m.
Created at: April 17, 2026, 5:04 p.m.