Triple
T20460288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | División Azul |
E501905
|
entity |
| Predicate | totalPersonnelEstimate |
P24266
|
FINISHED |
| Object | over 40,000 Spanish volunteers served |
—
|
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: over 40,000 Spanish volunteers served | Statement: [División Azul, totalPersonnelEstimate, over 40,000 Spanish volunteers served]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalPersonnelEstimate Context triple: [División Azul, totalPersonnelEstimate, over 40,000 Spanish volunteers served]
-
A.
militaryCasualtiesEstimate
Indicates an estimated number of people killed, wounded, or missing as a result of military conflict or operations.
-
B.
casualtiesEstimate
Indicates an estimated number of people killed, injured, or otherwise harmed as a result of an event or incident.
-
C.
personnelStrength
chosen
Indicates the number or capacity of people assigned to or available for a particular unit, organization, or operation.
-
D.
commandingForceSize
Indicates the size or magnitude of the military or organizational force that is exercising command or control in a given context.
-
E.
hasApproximateNumberOfPeople
Indicates that an entity is associated with an estimated or approximate count of people, rather than an exact number.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a549a48190a1bcd7a6b0f71a11 |
completed | April 20, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.