Triple
T19992796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NMDA receptor |
E494104
|
entity |
| Predicate | permeableTo |
P11198
|
FINISHED |
| Object | Ca2+ |
—
|
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: Ca2+ | Statement: [NMDA receptor, permeableTo, Ca2+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permeableTo Context triple: [NMDA receptor, permeableTo, Ca2+]
-
A.
permeability
Indicates how easily a substance, material, or barrier allows another substance (such as a fluid, gas, or signal) to pass through it.
-
B.
isPassedThroughBy
chosen
Indicates that something serves as a medium, route, or channel through which another thing moves, flows, or is transmitted.
-
C.
isNonPorous
Indicates that an entity does not allow fluids, gases, or other substances to pass through or penetrate its surface.
-
D.
porosity
Indicates the degree to which a material or structure contains voids or pores relative to its total volume.
-
E.
isTransparentTo
Indicates that one entity allows another entity (such as light, information, or influence) to pass through or be perceived without obstruction or concealment.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:31 p.m.