Triple
T1299025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Mokra |
E27718
|
entity |
| Predicate | germanObjective |
P663
|
FINISHED |
| Object | break through Polish defenses near Mokra |
—
|
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: break through Polish defenses near Mokra | Statement: [Battle of Mokra, germanObjective, break through Polish defenses near Mokra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: germanObjective Context triple: [Battle of Mokra, germanObjective, break through Polish defenses near Mokra]
-
A.
PrussianObjective
Indicates that an entity has the goal, target, or strategic objective of achieving or advancing something specifically related to Prussia or Prussian interests.
-
B.
strategicGoalOfGermany
chosen
Indicates that something is a strategic goal or long-term objective pursued by Germany.
-
C.
AustrianObjective
Indicates that an entity has an objective, goal, or purpose specifically associated with Austria or Austrian context.
-
D.
germanUnit
Indicates that an entity is a military or organizational unit that belongs to, originates from, or is associated with Germany.
-
E.
RussoAustrianObjective
Indicates a shared objective or goal jointly pursued by Russian and Austrian parties or forces.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.