Triple
T14770849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Policy Directive 21 |
E347126
|
entity |
| Predicate | sectorCountReferenced |
P115725
|
FINISHED |
| Object | 16 critical infrastructure sectors |
—
|
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: 16 critical infrastructure sectors | Statement: [Presidential Policy Directive 21, sectorCountReferenced, 16 critical infrastructure sectors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorCountReferenced Context triple: [Presidential Policy Directive 21, sectorCountReferenced, 16 critical infrastructure sectors]
-
A.
sectorCountApprox
Indicates that the number of sectors involved is an approximate or estimated count rather than an exact value.
-
B.
sectorInspected
Indicates that a particular sector or area has been examined or checked, typically for compliance, safety, or condition.
-
C.
branchCount
Indicates the number of branches associated with a given entity or structure.
-
D.
divisionCountRelation
Indicates a relationship where one entity’s quantity is divided by another’s, specifying how many times one value is contained within or partitions the other.
-
E.
sectorWeighting
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81334e08190a77d760e507d00ed |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:31 a.m.