Triple

T19784846
Position Surface form Disambiguated ID Type / Status
Subject Ahimaaz E475233 entity
Predicate volunteeredToRunWith P137321 FINISHED
Object Cushite messenger 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: Cushite messenger | Statement: [Ahimaaz, volunteeredToRunWith, Cushite messenger]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: volunteeredToRunWith
Context triple: [Ahimaaz, volunteeredToRunWith, Cushite messenger]
  • A. volunteeredFor
    Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
  • B. volunteerRunLine
    Indicates that a particular service, organization, or operation is managed and carried out primarily by volunteers rather than paid staff.
  • C. runsTheLengthOf
    Indicates that one entity extends continuously alongside or across the full distance of another entity.
  • D. hasVolunteerParticipation
    Indicates that an entity is involved in or benefits from activities performed by volunteers.
  • E. studentRun
    Indicates that an organization, activity, or initiative is operated and managed primarily by students rather than by faculty, staff, or external professionals.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538715b8819080c6930e7d16ab58 completed April 20, 2026, 4:25 p.m.
PD Predicate disambiguation batch_69e53053ed2881908400becdfada7fd3 completed April 19, 2026, 7:43 p.m.
PDg Predicate description generation batch_69e532bcf41c8190b685b5adf46a60fc completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 1:49 p.m.