Triple
T13942297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfizer–BioNTech |
E335285
|
entity |
| Predicate | primaryIndication |
P78649
|
FINISHED |
| Object | prevention of COVID‑19 |
—
|
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: prevention of COVID‑19 | Statement: [Pfizer–BioNTech, primaryIndication, prevention of COVID‑19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryIndication Context triple: [Pfizer–BioNTech, primaryIndication, prevention of COVID‑19]
-
A.
primarySin
Indicates a fundamental or chief moral wrongdoing attributed to an entity, often viewed as the root or most significant sin in a given context.
-
B.
primaryDisease
Indicates that a disease is the main or principal medical condition affecting an entity, as opposed to secondary or comorbid conditions.
-
C.
primaryIntent
chosen
Indicates the main purpose, goal, or motivation underlying an action, event, or relationship among entities.
-
D.
primaryIssue
Indicates that the related item is the main or most important issue among a set of issues.
-
E.
primaryTreatment
Indicates that a specified treatment is the main or first-line intervention used to address a particular condition or problem, as opposed to secondary or adjunctive treatments.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e0f6f3c8190a64058b732b0ac52 |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.