Triple

T38377953
Position Surface form Disambiguated ID Type / Status
Subject Forensic Science Northern Ireland E893675 entity
Predicate evidenceUse P3168 FINISHED
Object criminal trials 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: criminal trials | Statement: [Forensic Science Northern Ireland, evidenceUse, criminal trials]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evidenceUse
Context triple: [Forensic Science Northern Ireland, evidenceUse, criminal trials]
  • A. usedEvidenceType chosen
    Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
  • B. providesEvidenceFor
    Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
  • C. evidenceHandling
    Indicates how evidence is collected, processed, stored, and transferred within an investigation or legal context.
  • D. evidenceAtIssue
    Indicates that a particular piece of evidence is directly contested, disputed, or central to the disagreement or decision in a case or situation.
  • E. evidenceCited
    Indicates that one entity is used as supporting evidence or citation for the claims or content of 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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd313e61c8190b174b331365b803f completed May 7, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69fcd1f6b2e08190bf0300ae7c9ae67a completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:31 p.m.