Triple

T33280044
Position Surface form Disambiguated ID Type / Status
Subject Amboyna massacre E852017 entity
Predicate commodityContext P197241 FINISHED
Object cloves 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: cloves | Statement: [Amboyna massacre, commodityContext, cloves]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commodityContext
Context triple: [Amboyna massacre, commodityContext, cloves]
  • A. commodity
    Indicates that one entity is a tradable good or resource that is bought, sold, or exchanged in relation to another entity.
  • B. commodityType
    Indicates the classification of a good or product according to its type or category within a commodity system.
  • C. commodityUse
    Indicates that something is used or consumed as a commodity, typically as an input, resource, or tradable good in an economic or production context.
  • D. commodityClass
    Indicates that one entity is classified as belonging to a particular category or class of commodities in relation to another entity.
  • E. otherCommodity
    Indicates that an entity is associated with a commodity that is different from a primary, specified, or expected commodity in the given context.
  • F. None of above. chosen

Provenance (4 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_69f349653da08190819876015a298fdb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fe7eb4b8348190bb19d35766189ed4 completed May 9, 2026, 12:24 a.m.
PD Predicate disambiguation batch_69fe7c35d2148190ab952e54feda1e76 completed May 9, 2026, 12:13 a.m.
PDg Predicate description generation batch_69fe7eb31b04819081be531fd9f8a78c completed May 9, 2026, 12:24 a.m.
Created at: May 1, 2026, 1:32 a.m.