Triple
T6003357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trulicity |
E133647
|
entity |
| Predicate | hasBoxedWarning |
P2399
|
FINISHED |
| Object | risk of thyroid C-cell tumors in rodents |
—
|
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: risk of thyroid C-cell tumors in rodents | Statement: [Trulicity, hasBoxedWarning, risk of thyroid C-cell tumors in rodents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoxedWarning Context triple: [Trulicity, hasBoxedWarning, risk of thyroid C-cell tumors in rodents]
-
A.
warnsAbout
chosen
Indicates that one entity alerts or cautions another entity about a potential danger, risk, or problem.
-
B.
warnedWith
Indicates that one entity issued a warning to another entity using or accompanied by a particular medium, content, or instrument.
-
C.
hasSignalBox
Indicates that one entity is equipped with, contains, or is associated with a railway signal box used to control train movements.
-
D.
hasHook
Indicates that one entity possesses, is equipped with, or features a hook in relation to another entity or context.
-
E.
hasException
Indicates that a general rule, process, or condition does not apply in a particular case due to a specified exception.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f0f63148190826198281dce3713 |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.