Triple
T120805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitamin C and the Common Cold |
E2439
|
entity |
| Predicate | argumentType |
P7763
|
FINISHED |
| Object | advocacy for preventive supplementation |
—
|
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: advocacy for preventive supplementation | Statement: [Vitamin C and the Common Cold, argumentType, advocacy for preventive supplementation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: argumentType Context triple: [Vitamin C and the Common Cold, argumentType, advocacy for preventive supplementation]
-
A.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
B.
approximationType
Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
-
C.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
D.
injectionType
Indicates the specific method or form by which an injection is administered or delivered.
-
E.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a258fd278481908ad4498e03f38e2f |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a25647fe6081908cb0405266d35ff5 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258fbd18881908c9d40f7a2480945 |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.