Triple
T1172149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tysabri |
E24936
|
entity |
| Predicate | pregnancyCategory |
P23157
|
FINISHED |
| Object | may pose risk; use only if potential benefit justifies potential risk |
—
|
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: may pose risk; use only if potential benefit justifies potential risk | Statement: [Tysabri, pregnancyCategory, may pose risk; use only if potential benefit justifies potential risk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pregnancyCategory Context triple: [Tysabri, pregnancyCategory, may pose risk; use only if potential benefit justifies potential risk]
-
A.
hasPregnancyCategory
chosen
Indicates the classification of a drug or substance based on its known or potential risks when used during pregnancy.
-
B.
gestationPeriod
Indicates the length of time an organism develops in the womb or equivalent structure from conception to birth.
-
C.
birthType
Indicates the manner or method by which a birth occurred or was brought about.
-
D.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
E.
commonsCategory
Indicates that an entity is associated with a specific media or topic category on Wikimedia Commons.
- 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_69a4bceb3f188190b8b767380fe5986f |
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.