Triple
T38561038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tetanus |
E928075
|
entity |
| Predicate | isMoreCommonIn |
P24572
|
FINISHED |
| Object | low- and middle-income countries |
—
|
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: low- and middle-income countries | Statement: [tetanus, isMoreCommonIn, low- and middle-income countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMoreCommonIn Context triple: [tetanus, isMoreCommonIn, low- and middle-income countries]
-
A.
moreCommonIn
chosen
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
B.
moreCommonAs
Indicates that one thing occurs or is observed more frequently in a specified role, form, or context than in another.
-
C.
isLessCommonThan
Indicates that one item occurs, appears, or is observed less frequently than another item.
-
D.
isLessCommonSince
Indicates that the frequency or prevalence of one entity has decreased relative to another entity or to its own past occurrence from a specified point in time.
-
E.
prevalentIn
Indicates that something occurs frequently or is commonly found within a particular context, group, or environment.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.