Triple
T21747774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underwater Demolition Team insignia |
E536830
|
entity |
| Predicate | associatedWithOperationType |
P1137
|
FINISHED |
| Object | amphibious warfare |
—
|
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: amphibious warfare | Statement: [Underwater Demolition Team insignia, associatedWithOperationType, amphibious warfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithOperationType Context triple: [Underwater Demolition Team insignia, associatedWithOperationType, amphibious warfare]
-
A.
associatedWithOperator
Indicates that an entity has a relationship, connection, or linkage to a specific operator (such as a service, system, or organization) involved in its operation or management.
-
B.
associatedOperation
Indicates that one entity is linked to or involved with a particular operation, process, or activity.
-
C.
ownerOfAssociatedOperation
Indicates that one entity is the owner or controlling party of an operation that is functionally or contextually associated with another entity.
-
D.
hasOperationType
chosen
Indicates the specific kind or category of operation associated with an entity or process.
-
E.
associatedWithTransactionType
Indicates that something has a connection or linkage to a specific type or category of transaction.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a77e19c81909bf26f96aa41a7ce |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.