Triple

T3278141
Position Surface form Disambiguated ID Type / Status
Subject Garibaldi Battalion E68805 entity
Predicate typeOfVolunteerUnit P47074 FINISHED
Object foreign volunteer battalion 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: foreign volunteer battalion | Statement: [Garibaldi Battalion, typeOfVolunteerUnit, foreign volunteer battalion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfVolunteerUnit
Context triple: [Garibaldi Battalion, typeOfVolunteerUnit, foreign volunteer battalion]
  • A. nonprofitType
    Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
  • B. hasVolunteerProgram
    Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
  • C. hasVolunteerStatus
    Indicates that an entity holds a particular volunteer-related status or role within a specified context.
  • D. hasVolunteerBase
    Indicates that an entity maintains or relies on a group of volunteers as a foundational support resource.
  • E. governmentalUnitType
    Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb013de048190bcaac732caa6b174 completed March 8, 2026, 5:21 p.m.
PD Predicate disambiguation batch_69ada420167c81909b6e2702db296d9e completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada525bb2c8190b773efe6d696b6ab completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:10 p.m.