Triple

T906797
Position Surface form Disambiguated ID Type / Status
Subject Orawa E19565 entity
Predicate hasTraditionalEconomy P10778 FINISHED
Object pastoralism 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: pastoralism | Statement: [Orawa, hasTraditionalEconomy, pastoralism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalEconomy
Context triple: [Orawa, hasTraditionalEconomy, pastoralism]
  • A. hasEconomicDevelopment
    Indicates that one entity possesses, experiences, or is characterized by a certain level or type of economic growth, progress, or improvement in its economic conditions.
  • B. hasEconomicOrganization
    Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
  • C. historicalEconomicBase chosen
    Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
  • D. isMajorIndustrialEconomy
    Indicates that an entity is one of the world’s leading industrialized economies, characterized by large-scale industrial output and significant influence in global economic activity.
  • E. economicTransition
    Indicates a change in an entity’s economic system, structure, or status from one state or model to another.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3bcad2481908b83575b2fb80d14 completed March 1, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69a4b28ff5948190982c4439eadf9d87 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:39 p.m.