Triple
T3305102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Risk Management and Analysis |
E69428
|
entity |
| Predicate | dataUsed |
P399
|
FINISHED |
| Object | risk data on threats, vulnerabilities, and consequences |
—
|
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: risk data on threats, vulnerabilities, and consequences | Statement: [Office of Risk Management and Analysis, dataUsed, risk data on threats, vulnerabilities, and consequences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataUsed Context triple: [Office of Risk Management and Analysis, dataUsed, risk data on threats, vulnerabilities, and consequences]
-
A.
dataUse
chosen
Indicates how data is intended to be accessed, processed, or applied within a particular context or activity.
-
B.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
-
C.
dnsUsage
Indicates that one entity uses or relies on another entity for Domain Name System (DNS) resolution or related DNS services.
-
D.
platformUsage
Indicates how an entity uses, engages with, or relies on a particular platform for its activities or services.
-
E.
usagePeak
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0c8179081908a2595d1fdb7560a |
completed | March 8, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69ada42625308190be257f16a623a410 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.