Triple
T22441405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuqi feipian |
E554761
|
entity |
| Predicate | numbingLevel |
P148212
|
FINISHED |
| Object | 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: high | Statement: [Fuqi feipian, numbingLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numbingLevel Context triple: [Fuqi feipian, numbingLevel, high]
-
A.
treatmentLevel
Indicates the degree or intensity of a treatment applied or received in a given context.
-
B.
dosageLevel
Indicates the specific amount or intensity of a substance or treatment administered in a given dose.
-
C.
nutsLevel
Indicates the degree or intensity to which something or someone is considered crazy, eccentric, or wildly unconventional.
-
D.
niveau
Indicates a relationship where an entity is associated with a particular level, degree, or stage within a scale, hierarchy, or progression.
-
E.
activationLevel
Indicates the degree or intensity to which something is currently active, engaged, or functioning within a given 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae1f82881908a611f134eb03f3d |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.