Triple

T12772540
Position Surface form Disambiguated ID Type / Status
Subject Father Quintana E305280 entity
Predicate ministersTo P106823 FINISHED
Object the poor 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: the poor | Statement: [Father Quintana, ministersTo, the poor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ministersTo
Context triple: [Father Quintana, ministersTo, the poor]
  • A. hasMinister
    Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
  • B. ministerIsMemberOf
    Indicates that a minister belongs to, and holds membership in, a particular governing body, organization, or institution.
  • C. hasMinisterialResponsibilityFor
    Indicates that one entity (typically a minister or ministry) holds official responsibility or oversight for the functions, policies, or operations of another entity.
  • D. hasNumberOfMinisters
    Indicates the specific count of ministers associated with an entity, such as a government, cabinet, or organization.
  • E. hasJuniorMinister
    Indicates that an entity (such as a government department or office) has a junior minister assigned to serve under it.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df5b68481908a5d40516b09be52 completed April 10, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69d96409739881909174ba005a986cb5 completed April 10, 2026, 8:56 p.m.
PDg Predicate description generation batch_69d96d87078c819083ea724238992204 completed April 10, 2026, 9:37 p.m.
Created at: April 9, 2026, 5:28 p.m.