Triple
T4945912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | insulin |
E111048
|
entity |
| Predicate | deficiencyCauses |
P694
|
FINISHED |
| Object | hyperglycemia |
—
|
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: hyperglycemia | Statement: [insulin, deficiencyCauses, hyperglycemia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deficiencyCauses Context triple: [insulin, deficiencyCauses, hyperglycemia]
-
A.
causeOfWeakness
Indicates that one entity is the reason or source that brings about the weakness of another entity.
-
B.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
causeOfMentalHealthIssues
Indicates that one entity is a contributing factor in producing or worsening another entity’s mental health issues.
-
D.
causeOfDisability
Indicates that one entity is the reason or source that brings about another entity’s disability.
-
E.
causeOfDrainage
Indicates the factor or process that leads to or is responsible for the drainage of a substance, area, or system.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70aa890c81908e685ec5e88cae1f |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.