Triple
T1169361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plegridy |
E24878
|
entity |
| Predicate | hasPregnancyCategoryUS |
P23157
|
FINISHED |
| Object | C |
—
|
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: C | Statement: [Plegridy, hasPregnancyCategoryUS, C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPregnancyCategoryUS Context triple: [Plegridy, hasPregnancyCategoryUS, C]
-
A.
hasPregnancyCategory
chosen
Indicates the classification of a drug or substance based on its known or potential risks when used during pregnancy.
-
B.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
C.
eligibilityCategory
Indicates the classification or type of eligibility that applies to an entity within a given context.
-
D.
readinessCategory
Indicates the classification of an entity based on its current level or state of preparedness for a given purpose or activity.
-
E.
hasParentCategory
Indicates that an entity belongs to or is organized under a broader, more general category.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.