Triple
T12720578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German 83rd Infantry Division |
E303966
|
entity |
| Predicate | sufferedHeavyLossesIn |
P47244
|
FINISHED |
| Object | Soviet offensives on the Eastern Front |
—
|
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: Soviet offensives on the Eastern Front | Statement: [German 83rd Infantry Division, sufferedHeavyLossesIn, Soviet offensives on the Eastern Front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sufferedHeavyLossesIn Context triple: [German 83rd Infantry Division, sufferedHeavyLossesIn, Soviet offensives on the Eastern Front]
-
A.
sufferedDestructionOf
Indicates that one entity experienced damage, ruin, or loss as a result of the destruction of another entity.
-
B.
causedTerritorialLossesTo
Indicates that one entity was responsible for another entity losing control over some portion of its territory.
-
C.
sufferedDestructionIn
Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
-
D.
tookHeavyDamageAt
chosen
Indicates that an entity experienced severe or substantial damage at a specific location or point in time.
-
E.
sufferedDamageTo
Indicates that one entity has experienced harm, loss, or deterioration affecting another entity or one of its parts.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:24 p.m.