Triple
T22690347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IL-17A |
E561033
|
entity |
| Predicate | formsReceptorComplexWith |
P6653
|
FINISHED |
| Object | IL-17RA–IL-17RC heterodimer |
—
|
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: IL-17RA–IL-17RC heterodimer | Statement: [IL-17A, formsReceptorComplexWith, IL-17RA–IL-17RC heterodimer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsReceptorComplexWith Context triple: [IL-17A, formsReceptorComplexWith, IL-17RA–IL-17RC heterodimer]
-
A.
receptorSystem
Indicates that one entity functions as a receptor system through which another entity receives, processes, or responds to signals or stimuli.
-
B.
targetsReceptor
Indicates that one entity is directed toward, binds to, or is designed to act upon a specific receptor.
-
C.
formsWith
chosen
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
-
D.
formsInteractingPairWith
Indicates that one entity forms a mutually interacting pair or duo with another entity, such that their behaviors or effects are directly linked.
-
E.
targetCellEntryReceptor
Indicates that a receptor mediates or enables the entry of a target cell (or agent) into another cell.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789a1fd08190bce5fa0babe695d3 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.