Triple

T35118736
Position Surface form Disambiguated ID Type / Status
Subject Poor Fellows E1014110 entity
Predicate wealthPolicy P1876 FINISHED
Object renunciation of worldly goods 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: renunciation of worldly goods | Statement: [Poor Fellows, wealthPolicy, renunciation of worldly goods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wealthPolicy
Context triple: [Poor Fellows, wealthPolicy, renunciation of worldly goods]
  • A. economicPolicyType
    Indicates the classification of an economic policy according to its general type or category (e.g., fiscal, monetary, trade).
  • B. economicPolicyOrientation
    Indicates the general stance or approach an entity takes toward economic policy, such as its preferred principles, priorities, or strategies in managing the economy.
  • C. policyFocus chosen
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • D. wealthSupported
    Indicates that one entity’s wealth, financial status, or economic position is maintained, upheld, or enabled by another entity.
  • E. economicPolicyArea
    Indicates the specific domain or sector of economic policy to which an action, measure, or issue is related.
  • 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_69f76dd8b6948190aaa32b081816bd94 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78ce78b508190955848e133398dc8 completed May 3, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69f78b8f4cc08190b49fccd798cb25d7 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:01 p.m.