Triple
T2530205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6th Panzer Army |
E56138
|
entity |
| Predicate | resultInArdennes |
P39401
|
FINISHED |
| Object | failed to achieve strategic objectives |
—
|
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: failed to achieve strategic objectives | Statement: [6th Panzer Army, resultInArdennes, failed to achieve strategic objectives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultInArdennes Context triple: [6th Panzer Army, resultInArdennes, failed to achieve strategic objectives]
-
A.
resultForDutchRepublic
Indicates the outcome or consequence that pertains specifically to the Dutch Republic in a given event or context.
-
B.
resultOfBattle
Indicates that one entity is the outcome or consequence produced by a specific battle or combat event involving another entity.
-
C.
FrenchCasualties
Indicates that the relationship specifies the number or extent of casualties suffered by French forces in a given event or context.
-
D.
countryOfDefeatedSide
Indicates the country to which the losing or defeated side in a conflict, competition, or confrontation belongs.
-
E.
otherRegionsOfBelgium
Indicates that the related entities are regions of Belgium that are distinct from a specified primary Belgian region.
- F. None of above. chosen
Provenance (4 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd276930c8190bd46b52e06b7098e |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd18e72a88190bdcf12b326d42fad |
completed | March 7, 2026, 7:19 a.m. |
Created at: March 6, 2026, 9:46 p.m.