Triple

T22717512
Position Surface form Disambiguated ID Type / Status
Subject British colonization of Sumatra E561773 entity
Predicate impactOnLocalSociety P4312 FINISHED
Object integration into global spice trade 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: integration into global spice trade | Statement: [British colonization of Sumatra, impactOnLocalSociety, integration into global spice trade]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: impactOnLocalSociety
Context triple: [British colonization of Sumatra, impactOnLocalSociety, integration into global spice trade]
  • A. socialImpact chosen
    Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
  • B. hasLocalImpact
    Indicates that an entity produces effects or consequences within a specific local area or community.
  • C. influencesCommunity
    Indicates that one entity has an effect on the behavior, attitudes, or conditions of a community.
  • D. localEconomyImpact
    Indicates the effect that an action, event, or entity has on the economic conditions, activities, or performance of a specific local area or community.
  • E. impactOnHumans
    Indicates a relationship where something produces an effect, influence, or consequence on humans.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790ecbc48190926d16b20b674dbd completed April 29, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69ee62bd657c81909f7b01245b080a5f completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:19 p.m.