Triple

T2639658
Position Surface form Disambiguated ID Type / Status
Subject Surat E62832 entity
Predicate colonialPowerPresence P3075 FINISHED
Object Portuguese 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: Portuguese | Statement: [Surat, colonialPowerPresence, Portuguese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: colonialPowerPresence
Context triple: [Surat, colonialPowerPresence, Portuguese]
  • A. colonialPowerInvolved
    Indicates that a colonial power is involved in, influences, or exerts control over the referenced situation, event, or relationship.
  • B. colonialPowerOfOrigin
    Indicates the colonial state or empire from which a colony or formerly colonized territory originated or was governed.
  • C. wasColonialPower chosen
    Indicates that one entity historically exercised colonial control or dominance over another entity.
  • D. usedByColonialPower
    Indicates that something is employed or exploited as a tool, resource, or mechanism by a colonial power in the context of domination or control.
  • E. colonialPowerOpposed
    Indicates that one colonial power actively resisted, conflicted with, or worked against another colonial power or its interests.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fafad08190939b08558fea6abd completed March 7, 2026, 7:51 a.m.
PD Predicate disambiguation batch_69abd812849881908f956845a80e0205 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:53 p.m.