Triple
T4689767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BCG vaccine |
E104005
|
entity |
| Predicate | notRoutinelyRecommendedIn |
P40931
|
FINISHED |
| Object | countries with low tuberculosis incidence |
—
|
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: countries with low tuberculosis incidence | Statement: [BCG vaccine, notRoutinelyRecommendedIn, countries with low tuberculosis incidence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notRoutinelyRecommendedIn Context triple: [BCG vaccine, notRoutinelyRecommendedIn, countries with low tuberculosis incidence]
-
A.
notRecommendedBy
Indicates that one entity explicitly advises against or does not endorse another entity.
-
B.
notTypically
chosen
Indicates that the referenced situation, behavior, or relationship does not usually or normally occur under standard or expected conditions.
-
C.
notObservedIn
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
-
D.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
-
E.
notEnforcedBy
Indicates that a rule, policy, or obligation is not upheld, imposed, or carried out by the referenced enforcing 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_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.