Triple
T1990510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korarchaeota |
E43240
|
entity |
| Predicate | lipidType |
P12468
|
FINISHED |
| Object | ether-linked membrane lipids |
—
|
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: ether-linked membrane lipids | Statement: [Korarchaeota, lipidType, ether-linked membrane lipids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lipidType Context triple: [Korarchaeota, lipidType, ether-linked membrane lipids]
-
A.
membraneLipidType
chosen
Indicates the specific type or class of lipid that composes or is associated with a membrane.
-
B.
metabolismType
Indicates the kind of metabolic process or pathway an entity uses to obtain and transform energy or nutrients.
-
C.
oilType
Indicates the specific kind or classification of oil associated with an entity.
-
D.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
E.
enzymeType
Indicates the specific class or category of enzyme associated with an entity or reaction.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.