Triple
T14425971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German U-boat U-47 |
E357698
|
entity |
| Predicate | numberOfPatrols |
P28076
|
FINISHED |
| Object | 10 war patrols |
—
|
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: 10 war patrols | Statement: [German U-boat U-47, numberOfPatrols, 10 war patrols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPatrols Context triple: [German U-boat U-47, numberOfPatrols, 10 war patrols]
-
A.
patrolledBy
Indicates that an area, route, or domain is regularly monitored or guarded by a specific agent or group.
-
B.
numberOfMissions
Indicates the total count of missions associated with a given entity or context.
-
C.
numberOfWarPatrols
chosen
Indicates the count of distinct war patrol missions associated with an entity.
-
D.
numberOfSuccessfulMissions
Indicates the count of missions that have been completed successfully by the referenced entity or within the specified context.
-
E.
numberOfExpeditions
Indicates the total count of expeditions associated with a given entity or context.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de911398f08190be85bc0a8bef6b1b |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.