Triple
T14486047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Soldier Švejk |
E359230
|
entity |
| Predicate | reasonForIncompletion |
P57902
|
FINISHED |
| Object | death of Jaroslav Hašek |
—
|
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: death of Jaroslav Hašek | Statement: [The Good Soldier Švejk, reasonForIncompletion, death of Jaroslav Hašek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForIncompletion Context triple: [The Good Soldier Švejk, reasonForIncompletion, death of Jaroslav Hašek]
-
A.
reasonForNotCompletion
chosen
Indicates the explanation or cause for why a task, process, or obligation was not completed.
-
B.
reasonForDecline
Indicates the explanation or cause given for why something was rejected, reduced, or not accepted.
-
C.
reasonForAnnulment
Indicates the specific cause or grounds on which a prior decision, agreement, or status is formally annulled or declared invalid.
-
D.
reasonForDiscontinuation
Indicates that one entity specifies the cause or justification for stopping, ending, or withdrawing another entity, process, or activity.
-
E.
reasonForDismissal
Indicates the cause or justification for which an entity (such as a person, case, or item) was dismissed, terminated, or removed.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.