Triple
T4689783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BCG vaccine |
E104005
|
entity |
| Predicate | efficacyVariation |
P13845
|
FINISHED |
| Object | varies by geography and population |
—
|
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: varies by geography and population | Statement: [BCG vaccine, efficacyVariation, varies by geography and population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: efficacyVariation Context triple: [BCG vaccine, efficacyVariation, varies by geography and population]
-
A.
usageVariesBy
Indicates that the way something is used differs depending on a specified factor, such as context, user, location, or conditions.
-
B.
affectsVariant
Indicates that one entity has an influence or impact on a specific variant or version of another entity.
-
C.
hasVariability
chosen
Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
-
D.
wirksamAb
Indicates the point in time from which something (such as a rule, contract, or condition) becomes effective or valid.
-
E.
efficacyAgainstSymptomaticCOVID19
Indicates the degree to which an intervention reduces the occurrence of symptomatic COVID-19 in a population compared to a control condition.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.