Triple
T19245360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INS gene |
E481234
|
entity |
| Predicate | polymorphismAssociatedWith |
P68687
|
FINISHED |
| Object | type 1 diabetes 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: type 1 diabetes risk | Statement: [INS gene, polymorphismAssociatedWith, type 1 diabetes risk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polymorphismAssociatedWith Context triple: [INS gene, polymorphismAssociatedWith, type 1 diabetes risk]
-
A.
mutationAssociatedWith
chosen
Indicates that a specific genetic mutation is linked or related to another entity, such as a disease, trait, or molecular effect.
-
B.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
C.
associatedPolis
Indicates a relationship where an entity is linked or connected to a particular city-state (polis), typically as its relevant or related political unit.
-
D.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
-
E.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2c34e88190a338e5a7ba906425 |
completed | April 20, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:27 p.m.