Triple
T21962346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basic Underwater Demolition/SEAL training |
E542363
|
entity |
| Predicate | attritionRate |
P146712
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Basic Underwater Demolition/SEAL training, attritionRate, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attritionRate Context triple: [Basic Underwater Demolition/SEAL training, attritionRate, high]
-
A.
casualtyRate
Indicates the proportion or frequency of individuals killed or injured within a defined group, event, or time period.
-
B.
terminationRate
Indicates the frequency or proportion at which something (such as a process, contract, or relationship) is ended or discontinued over a given context or time period.
-
C.
durabilityLossRate
Indicates the rate at which an entity’s durability decreases over time or use.
-
D.
failureRate
Indicates the proportion or frequency at which a system, component, or process fails over a specified set of operations or time period.
-
E.
mortalityRate
Indicates the proportion of individuals in a defined population that die within a specified time period.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124572738819098cc669aafa53cc6 |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb9b75308190addc3dba7b5d5ddd |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 8:01 p.m.