Triple
T13132988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish Brigade (Spanish Civil War) |
E312009
|
entity |
| Predicate | typeOfVolunteers |
P47074
|
FINISHED |
| Object | foreign 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: foreign volunteers | Statement: [Irish Brigade (Spanish Civil War), typeOfVolunteers, foreign volunteers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfVolunteers Context triple: [Irish Brigade (Spanish Civil War), typeOfVolunteers, foreign volunteers]
-
A.
typeOfVolunteerUnit
chosen
Indicates that one entity is a specific kind or category of volunteer unit in relation to another entity.
-
B.
hasAdultVolunteers
Indicates that an entity is associated with one or more adult individuals who volunteer their time or services for it.
-
C.
volunteeredFor
Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
-
D.
volunteerRequirement
Indicates that an entity has a condition or obligation specifying the need for volunteers or volunteer participation.
-
E.
hasVolunteerStatus
Indicates that an entity holds a particular volunteer-related status or role within a specified context.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b27a8c81909a92ab7be5d3a7e9 |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d9804543cc8190a23cd7da59a12a7b |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:08 p.m.