Triple

T31039290
Position Surface form Disambiguated ID Type / Status
Subject John McCloskey E790941 entity
Predicate countryOfPastoralActivity P66690 FINISHED
Object United States of America NE NERFINISHED

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: United States of America | Statement: [John McCloskey, countryOfPastoralActivity, United States of America]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfPastoralActivity
Context triple: [John McCloskey, countryOfPastoralActivity, United States of America]
  • A. pastoralActivities
    Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
  • B. borderingCountryPastoralLinks
    Indicates that two neighboring countries share pastoral connections, such as cross-border livestock movement, grazing, or herding interactions.
  • C. coordinatesPastoralActivities
    Indicates that one entity organizes and oversees the pastoral or spiritual-care activities carried out by another entity.
  • D. hasPastoralArea
    Indicates that one entity is assigned to, responsible for, or associated with a specific pastoral area or pastoral care region of another entity.
  • E. pastoralWorkLocation chosen
    Indicates the place where a person carries out their pastoral or ministerial duties.
  • 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_69f224ca2fa881908a3ac5fedf207b90 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69ffc083a54c8190ac80d05ee8d20a6b completed May 9, 2026, 11:17 p.m.
PD Predicate disambiguation batch_69ffbfeb05b88190b4d50ce8124004d9 completed May 9, 2026, 11:14 p.m.
Created at: April 29, 2026, 8:59 p.m.