Triple
T25003946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyalu B5 Serum |
E625788
|
entity |
| Predicate | pHAdjusted |
P2070
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hyalu B5 Serum, pHAdjusted, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pHAdjusted Context triple: [Hyalu B5 Serum, pHAdjusted, true]
-
A.
waterPH
Indicates the acidity or alkalinity level (pH value) of a given body or sample of water.
-
B.
acidityLevel
chosen
Indicates the degree or intensity of acidity associated with an entity, typically measured by pH or a comparable scale.
-
C.
isMoreAcidicThan
Indicates that one substance has a lower pH (greater concentration of hydrogen ions) and thus a stronger acidic character than another substance.
-
D.
isTypicallyNeutralizedWith
Indicates that something is commonly counteracted, rendered harmless, or balanced by another specified thing.
-
E.
adjustsFor
Indicates that one entity modifies, compensates, or accounts for the effects of another entity to achieve a corrected or normalized result.
- 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44b0ee0388190a07b6c0bcd817af9 |
completed | May 1, 2026, 6:41 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:05 a.m.