Triple
T33205826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | itraconazole |
E850011
|
entity |
| Predicate | isTeratogenicIn |
P149429
|
FINISHED |
| Object | animal studies |
—
|
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: animal studies | Statement: [itraconazole, isTeratogenicIn, animal studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTeratogenicIn Context triple: [itraconazole, isTeratogenicIn, animal studies]
-
A.
hasTeratogenicRisk
chosen
Indicates that an entity (typically a substance or exposure) carries a risk of causing developmental abnormalities or birth defects in an embryo or fetus.
-
B.
congenitalFormAffects
Indicates that a congenital (present at birth) form or condition has an influence or impact on another related entity or outcome.
-
C.
notableToxicity
Indicates that an entity is recognized for having a significant level or history of toxicity, harm, or detrimental effects in its context or interactions.
-
D.
toxicityNote
Indicates that there is a note or annotation describing the toxic or harmful nature, level, or aspects of the related entity or interaction.
-
E.
impactOnReproduction
Indicates a relationship where one entity affects, alters, or influences the reproductive capacity, success, or processes of another entity.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:30 a.m.