Triple
T2640689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimean offensive (1944) |
E62856
|
entity |
| Predicate | axisLosses |
P8356
|
FINISHED |
| Object | large numbers of German and Romanian troops killed, captured, or evacuated |
—
|
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: large numbers of German and Romanian troops killed, captured, or evacuated | Statement: [Crimean offensive (1944), axisLosses, large numbers of German and Romanian troops killed, captured, or evacuated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: axisLosses Context triple: [Crimean offensive (1944), axisLosses, large numbers of German and Romanian troops killed, captured, or evacuated]
-
A.
losses
chosen
Indicates that an entity experiences a decrease in value, quantity, or advantage as a result of some event or comparison.
-
B.
ridgeAxis
Indicates the central line or crest along the top of a ridge that defines its main axis or direction.
-
C.
loserPoints
Indicates the number of points awarded to or accumulated by the losing side in a competitive event or comparison.
-
D.
usesPointsForLoss
Indicates that a system or rule assigns or deducts points to represent or account for a loss.
-
E.
usesAxis
Indicates that one entity employs or relies on another entity as a reference axis or basis for orientation, measurement, or organization.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fc8ee881908a9f6820d8934a62 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.