Triple
T120807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitamin C and the Common Cold |
E2439
|
entity |
| Predicate | usesEvidenceFrom |
P3168
|
FINISHED |
| Object | clinical trials available at time of writing |
—
|
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: clinical trials available at time of writing | Statement: [Vitamin C and the Common Cold, usesEvidenceFrom, clinical trials available at time of writing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEvidenceFrom Context triple: [Vitamin C and the Common Cold, usesEvidenceFrom, clinical trials available at time of writing]
-
A.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
B.
usedEvidenceType
chosen
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
-
C.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
D.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
E.
implementsRecommendationOf
Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
- 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_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. |
Created at: Feb. 28, 2026, 2:24 a.m.