Triple
T25822355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSAS |
E650435
|
entity |
| Predicate | sectorSpecificAdjustments |
P31649
|
FINISHED |
| Object | allowed different threat levels for different 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: allowed different threat levels for different sectors | Statement: [HSAS, sectorSpecificAdjustments, allowed different threat levels for different sectors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorSpecificAdjustments Context triple: [HSAS, sectorSpecificAdjustments, allowed different threat levels for different sectors]
-
A.
sectorPreparation
Indicates that an entity is involved in getting a specific sector ready for operation, use, or transition through planning, setup, or related preparatory actions.
-
B.
adjustsFor
Indicates that one entity modifies, compensates, or accounts for the effects of another entity to achieve a corrected or normalized result.
-
C.
isSectorSpecific
Indicates that something is tailored or restricted to a particular industry or sector rather than being generally applicable.
-
D.
adjustmentType
chosen
Indicates the specific kind or category of modification applied to an existing value, state, or configuration within the relationship.
-
E.
sectorEffect
Indicates how an action, event, or condition impacts or influences a particular sector or industry.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 7:30 a.m.