Triple
T25822386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Severe Threat Level |
E650436
|
entity |
| Predicate | scaleMembers |
P160288
|
FINISHED |
| Object | Low Threat Level |
—
|
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: Low Threat Level | Statement: [Severe Threat Level, scaleMembers, Low Threat Level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleMembers Context triple: [Severe Threat Level, scaleMembers, Low Threat Level]
-
A.
scaleProperty
Indicates that one entity defines or modifies the scale, magnitude, or proportional sizing used to interpret or represent a property of another entity.
-
B.
scaleRelation
Indicates a relationship where one quantity, object, or representation is proportionally larger or smaller than another according to a specific scale or factor.
-
C.
scaleFunction
Indicates a relationship where one entity defines how another entity’s values are proportionally adjusted or transformed according to a scaling rule or factor.
-
D.
scalingProperty
Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
-
E.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f601f106a08190ad7b4537223dbd8c |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 7:30 a.m.