Triple
T36413675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Reserve Army |
E896946
|
entity |
| Predicate | commandStructureUsedIn |
P194924
|
FINISHED |
| Object | Operation Valkyrie |
—
|
NE NERFINISHED |
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: Operation Valkyrie | Statement: [German Reserve Army, commandStructureUsedIn, Operation Valkyrie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandStructureUsedIn Context triple: [German Reserve Army, commandStructureUsedIn, Operation Valkyrie]
-
A.
commandStructureInfluencedBy
Indicates that the organization or hierarchy of authority within a command structure is shaped, guided, or altered by another entity or factor.
-
B.
commandStructureUnion
Indicates a relationship where multiple command structures are combined or unified into a single coordinated command framework.
-
C.
commandStructureFrom
Indicates that one entity derives its command or organizational hierarchy from another entity.
-
D.
commandStructureEnglish
Indicates that one entity holds a position or role within the command hierarchy or organizational structure of another entity in an English-language context.
-
E.
commandSyntax
Indicates the specific structure or format in which a command must be written or expressed.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69fd8e5e9ca48190890a2caddc1f9f5c |
completed | May 8, 2026, 7:18 a.m. |
Created at: May 3, 2026, 4:10 p.m.