Triple
T4319028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Marines Cadets |
E96463
|
entity |
| Predicate | hasAdultVolunteers |
P56206
|
FINISHED |
| Object | Royal Marines Cadet adult instructors |
—
|
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: Royal Marines Cadet adult instructors | Statement: [Royal Marines Cadets, hasAdultVolunteers, Royal Marines Cadet adult instructors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdultVolunteers Context triple: [Royal Marines Cadets, hasAdultVolunteers, Royal Marines Cadet adult instructors]
-
A.
hasVolunteerProgram
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
-
B.
hasVolunteerStatus
Indicates that an entity holds a particular volunteer-related status or role within a specified context.
-
C.
volunteersAgeRequirement
Indicates that there is a minimum or specific age condition that must be met in order for someone to be eligible to volunteer.
-
D.
hasVolunteerBase
Indicates that an entity maintains or relies on a group of volunteers as a foundational support resource.
-
E.
receivedVolunteersFrom
Indicates that one entity accepted or was provided with volunteers originating from another entity.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35112ec008190958487f501481887 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3501834448190bedf775a80da4778 |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:12 p.m.