Triple

T11281141
Position Surface form Disambiguated ID Type / Status
Subject Sveinn Björnsson E267066 entity
Predicate diplomatic role P2921 FINISHED
Object Icelandic envoy to Denmark 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: Icelandic envoy to Denmark | Statement: [Sveinn Björnsson, diplomatic role, Icelandic envoy to Denmark]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diplomatic role
Context triple: [Sveinn Björnsson, diplomatic role, Icelandic envoy to Denmark]
  • A. diplomaticRole chosen
    Indicates that an entity holds or has held an official diplomatic position or function in relation to another entity or context.
  • B. typeOfDiplomaticRole
    Indicates the specific kind or category of diplomatic position or function that an entity holds in relation to another.
  • C. diplomaticCharacter
    Indicates that one entity exhibits a tendency to resolve conflicts or interact with others through negotiation, tact, and non-confrontational means in its dealings with another entity.
  • D. diplomaticType
    Indicates the specific category or nature of a diplomatic relationship or role that exists between entities.
  • E. involvedDiplomat
    Indicates that a diplomat participated in, was associated with, or played a role in a specified event, interaction, or situation.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69d787a240588190aa097298f951c915 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:31 p.m.