Triple

T1398720
Position Surface form Disambiguated ID Type / Status
Subject Personnel Committee E30729 entity
Predicate organizationalContext P2919 FINISHED
Object religious organization 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: religious organization | Statement: [Personnel Committee, organizationalContext, religious organization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: organizationalContext
Context triple: [Personnel Committee, organizationalContext, religious organization]
  • A. organizationalScope
    Indicates the range or extent of responsibility, authority, or applicability that an action, policy, or relationship has within an organization or its sub-units.
  • B. contextOf chosen
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • C. endedOrganization
    Indicates that an organization has ceased to exist or operate, marking the termination of its existence or activities.
  • D. canonicalContext
    Indicates the standard or primary contextual framework within which an entity, statement, or resource is to be interpreted.
  • E. originContext
    Indicates the situational or environmental circumstances from which an entity, event, or piece of information originates.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c39b1ea0819090e49454885d4b7d completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bf017f8081908572121560ec621f completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.