Triple

T16957367
Position Surface form Disambiguated ID Type / Status
Subject Coroner’s Court of Singapore E411339 entity
Predicate mayMake P5771 FINISHED
Object recommendations to prevent similar deaths 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: recommendations to prevent similar deaths | Statement: [Coroner’s Court of Singapore, mayMake, recommendations to prevent similar deaths]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayMake
Context triple: [Coroner’s Court of Singapore, mayMake, recommendations to prevent similar deaths]
  • A. canMake chosen
    Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
  • B. mayCompose
    Indicates that an entity has permission or authority to create or write another entity (such as a document, message, or composition).
  • C. mayPass
    Indicates that one entity is permitted or authorized to move through, cross, or gain access to another entity or location.
  • D. mayNot
    Indicates that an entity is not permitted or is prohibited from performing a particular action or entering into a specified relationship.
  • E. mayGrant
    Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01d34d08190a73ce48e9988bd97 completed April 18, 2026, 6:40 p.m.
PD Predicate disambiguation batch_69e32b9aa8748190b248890aca86753d completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:31 a.m.