Triple

T11703201
Position Surface form Disambiguated ID Type / Status
Subject Swiss Brazilians E278173 entity
Predicate hostCountryPolicyContext P838 FINISHED
Object Brazilian imperial colonization policy 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: Brazilian imperial colonization policy | Statement: [Swiss Brazilians, hostCountryPolicyContext, Brazilian imperial colonization policy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hostCountryPolicyContext
Context triple: [Swiss Brazilians, hostCountryPolicyContext, Brazilian imperial colonization policy]
  • A. foreignPolicyContext
    Indicates the broader international relations setting or circumstances within which a foreign policy decision, action, or stance occurs.
  • B. hasCountryContext chosen
    Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
  • C. hostCountryResult
    Indicates the outcome or performance achieved by the host country in a particular event, competition, or context.
  • D. locationPolicy
    Indicates a rule or constraint governing where an entity is allowed, required, or restricted to be located.
  • E. hasLanguagePolicyContext
    Indicates that there is an associated language-related policy, rule, or regulatory context governing how language is used or managed in relation to the subject.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
PD Predicate disambiguation batch_69d88a7b30948190b616a9db5c5488d5 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.