Triple
T24825903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luftwaffe (planned) |
E621188
|
entity |
| Predicate | reasonNotRealized |
P75534
|
FINISHED |
| Object | rapidly deteriorating military situation |
—
|
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: rapidly deteriorating military situation | Statement: [Luftwaffe (planned), reasonNotRealized, rapidly deteriorating military situation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonNotRealized Context triple: [Luftwaffe (planned), reasonNotRealized, rapidly deteriorating military situation]
-
A.
reasonForNotCompletion
Indicates the explanation or cause for why a task, process, or obligation was not completed.
-
B.
reasonNotInForce
Indicates that a rule, law, or agreement is not currently valid or applicable due to a specified reason.
-
C.
reasonForMissingFeature
Indicates the explanation or cause for why a particular feature is absent or not implemented.
-
D.
reasonForNoProduction
Indicates the specific cause or explanation for why production did not occur.
-
E.
reasonForNonCommencement
chosen
Indicates the explanation or cause for why an expected activity, process, or obligation did not begin.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 5:05 a.m.