Triple

T13819987
Position Surface form Disambiguated ID Type / Status
Subject Job’s Daughters International E332109 entity
Predicate hasAdultSupportRole P11687 FINISHED
Object adult volunteers 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: adult volunteers | Statement: [Job’s Daughters International, hasAdultSupportRole, adult volunteers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdultSupportRole
Context triple: [Job’s Daughters International, hasAdultSupportRole, adult volunteers]
  • A. supportsRole
    Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
  • B. hasLegalRole
    Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or context.
  • C. hasSafetyRole
    Indicates that an entity holds a responsibility or function related to safety within a given context or system.
  • D. hasGlobalRole
    Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
  • E. servesRole chosen
    Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
PD Predicate disambiguation batch_69dbc862e9608190bd8a3d883959b7e4 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:12 p.m.