Triple
T34187340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNAI3 |
E876997
|
entity |
| Predicate | productInstanceOf |
P197273
|
FINISHED |
| Object | G protein alpha subunit |
—
|
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: G protein alpha subunit | Statement: [GNAI3, productInstanceOf, G protein alpha subunit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productInstanceOf Context triple: [GNAI3, productInstanceOf, G protein alpha subunit]
-
A.
productTypeEvaluated
Indicates that an entity’s product type has been assessed or judged according to certain criteria or standards.
-
B.
productCorrespondsTo
Indicates that one product is matched or associated with another product as an equivalent, related, or corresponding item.
-
C.
isTraditionalProductOf
Indicates that something is a customary or historically established product originating from a particular place, culture, or group.
-
D.
manufacturerInstanceOf
Indicates that a specific manufacturer entity is an instance of a more general manufacturer type or class.
-
E.
productWith
Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
- F. None of above. chosen
Provenance (4 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
| PDg | Predicate description generation | batch_69fe831ba4708190a5564afd7d5a4319 |
completed | May 9, 2026, 12:43 a.m. |
Created at: May 1, 2026, 1:55 a.m.