Triple
T13942248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SARS-CoV-2 |
E335284
|
entity |
| Predicate | hasProtein |
P112356
|
FINISHED |
| Object | spike glycoprotein |
—
|
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: spike glycoprotein | Statement: [SARS-CoV-2, hasProtein, spike glycoprotein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtein Context triple: [SARS-CoV-2, hasProtein, spike glycoprotein]
-
A.
hasProteinFeature
Indicates that a protein possesses a specific structural or functional feature, such as a domain, motif, or modification site.
-
B.
proteinContent
Indicates the amount or proportion of protein present in a given entity or substance.
-
C.
mainProtein
Indicates that one protein is the primary or central protein in relation to another entity, such as a complex, pathway, or interaction context.
-
D.
hasNutrientContent
Indicates that one entity contains or provides a specified amount or type of nutrient relative to another entity or standard.
-
E.
hasMainIngredient
Indicates that one entity is the primary or most significant ingredient used to make another entity.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e0f6f3c8190a64058b732b0ac52 |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:17 p.m.