Triple

T223498
Position Surface form Disambiguated ID Type / Status
Subject Malay peoples E4265 entity
Predicate traditionalEconomicActivity P1099 FINISHED
Object maritime 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: maritime trade | Statement: [Malay peoples, traditionalEconomicActivity, maritime trade]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalEconomicActivity
Context triple: [Malay peoples, traditionalEconomicActivity, maritime trade]
  • A. hasEconomicActivity chosen
    Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
  • B. economicClassification
    Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
  • C. economicAspect
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • D. economicUse
    Indicates that one entity utilizes another for economic purposes, such as production, trade, revenue generation, or cost-saving activities.
  • E. hasEconomicOrganization
    Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25dec53ac8190912f3d79576131fa completed Feb. 28, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a25b5739dc8190bad8bfa330ce0499 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.