Triple

T16835399
Position Surface form Disambiguated ID Type / Status
Subject Joint Investigation Team (MH17) E409261 entity
Predicate collectsEvidenceType P3168 FINISHED
Object forensic evidence 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: forensic evidence | Statement: [Joint Investigation Team (MH17), collectsEvidenceType, forensic evidence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collectsEvidenceType
Context triple: [Joint Investigation Team (MH17), collectsEvidenceType, forensic evidence]
  • 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. detectiveType
    Indicates that one entity is classified as a particular type or category of detective in relation to another entity.
  • D. mayHearEvidenceFrom
    Indicates that an authority or decision-maker is permitted to receive and consider evidence presented by a specified source.
  • E. hasMaterialEvidence
    Indicates that there exists tangible, physical evidence supporting or associated with a particular entity, event, or claim.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31aa44c8190b4f402f1898e6998 completed April 18, 2026, 4:36 p.m.
PD Predicate disambiguation batch_69e32b87b4248190aaddb05e88452356 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:23 a.m.