Triple
T1547242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French invasion of Russia |
E33005
|
entity |
| Predicate | strengthOfRussianForces |
P11878
|
FINISHED |
| Object | over 200000 soldiers initially |
—
|
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 200000 soldiers initially | Statement: [French invasion of Russia, strengthOfRussianForces, over 200000 soldiers initially]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthOfRussianForces Context triple: [French invasion of Russia, strengthOfRussianForces, over 200000 soldiers initially]
-
A.
combatantStrength
Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
-
B.
warTimeStrengthApprox
chosen
Indicates an approximate measure of an entity’s military strength or capacity during a time of war.
-
C.
numberOfTroopsInvolved
Indicates the quantity of military personnel participating in or assigned to a specific operation, event, or engagement.
-
D.
strengthRussoAustrian
Indicates the relative military or political strength between Russian and Austrian forces or interests in a given context.
-
E.
typeOfTroops
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.