Triple
T30189543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCP3-PD |
E767433
|
entity |
| Predicate | hasMitigationLevel |
P180536
|
FINISHED |
| Object | very 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: very high | Statement: [RCP3-PD, hasMitigationLevel, very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMitigationLevel Context triple: [RCP3-PD, hasMitigationLevel, very high]
-
A.
requiresMitigation
Indicates that something poses a risk or issue that must be addressed through specific mitigation actions or measures.
-
B.
builtAsMitigationFor
Indicates that one entity was constructed specifically to reduce, prevent, or counteract a particular risk, problem, or adverse impact associated with another entity.
-
C.
mitigationStrategy
Indicates a relationship where one entity serves as a method or approach used to reduce, control, or lessen the negative impact, risk, or severity associated with another entity or situation.
-
D.
hasHazardLevel
Indicates that an entity is associated with a specified degree or category of risk or danger.
-
E.
hasConditionalityLevel
Indicates that one entity is associated with a specific degree or level of conditional requirements, constraints, or dependencies relative to another entity or context.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69f7431aac148190bb6aac59817c174a |
completed | May 3, 2026, 12:44 p.m. |
Created at: April 29, 2026, 7:28 p.m.