Triple
T19773012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prevnar 13 |
E474933
|
entity |
| Predicate | valency |
P137280
|
FINISHED |
| Object | 13-valent |
—
|
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: 13-valent | Statement: [Prevnar 13, valency, 13-valent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valency Context triple: [Prevnar 13, valency, 13-valent]
-
A.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
B.
arity
Indicates the number of arguments or participants that a relation or function takes.
-
C.
valorization
Indicates the process of increasing or assigning value, importance, or worth to something, often through social, economic, or cultural recognition.
-
D.
valueParity
Indicates that two compared values share the same parity (both even or both odd), or more generally, how a value’s parity is characterized in a given context.
-
E.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by another entity.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535e450c8190a2628245ae0d0bd3 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:48 p.m.