Triple
T16974514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tarutino |
E411774
|
entity |
| Predicate | forceStrengthRussian |
P55424
|
FINISHED |
| Object | approximately 35,000–40,000 troops |
—
|
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: approximately 35,000–40,000 troops | Statement: [Battle of Tarutino, forceStrengthRussian, approximately 35,000–40,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forceStrengthRussian Context triple: [Battle of Tarutino, forceStrengthRussian, approximately 35,000–40,000 troops]
-
A.
strengthRussia
chosen
Indicates a relationship where a level, measure, or display of strength is attributed to or associated with Russia.
-
B.
sovietStrength
Indicates the level or degree of strength, power, or capability associated with the Soviet side in a given context or interaction.
-
C.
strengthRussoAustrian
Indicates the relative military or political strength between Russian and Austrian forces or interests in a given context.
-
D.
forceType
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
-
E.
forcesAction
Indicates that one entity compels or coerces another entity to perform a specific action or behavior.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0af06688190a77682aa297cd27e |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.