Triple

T19737674
Position Surface form Disambiguated ID Type / Status
Subject Russian Federation ambassadors E474028 entity
Predicate mayAlsoAccreditTo P28948 FINISHED
Object multiple states 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: multiple states | Statement: [Russian Federation ambassadors, mayAlsoAccreditTo, multiple states]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayAlsoAccreditTo
Context triple: [Russian Federation ambassadors, mayAlsoAccreditTo, multiple states]
  • A. mayAlsoBeAccreditedTo chosen
    Indicates that the credit or attribution for something can additionally be assigned to another entity beyond the primary one.
  • B. accreditedTo
    Indicates that official recognition, authorization, or credit for something is granted by or associated with a particular entity.
  • C. accreditsThrough
    Indicates that an entity grants or recognizes official accreditation by means of, or via the intermediary of, another entity or mechanism.
  • D. mayAlsoCredit
    Indicates that an additional party can optionally be acknowledged or given credit in relation to the same work, contribution, or transaction.
  • E. mayBeConferredAs
    Indicates that something has the potential or authorization to be formally granted or bestowed upon an entity under certain conditions.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515ea688819097b6838e6a3b3d4a completed April 20, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69e5304a7aac8190ac13f75f0c008e45 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:47 p.m.