Triple
T33841162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arachidonic acid |
E867360
|
entity |
| Predicate | isEssentialFattyAcid |
P177778
|
FINISHED |
| Object | conditionally essential |
—
|
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: conditionally essential | Statement: [arachidonic acid, isEssentialFattyAcid, conditionally essential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEssentialFattyAcid Context triple: [arachidonic acid, isEssentialFattyAcid, conditionally essential]
-
A.
fattyAcid
Indicates a relationship where one entity is a fatty acid component, derivative, or participant in a process involving another entity.
-
B.
isEssentialNutrientFor
Indicates that one entity is a nutrient required for the normal growth, function, or survival of another entity.
-
C.
isProtein
Indicates that the subject entity is classified as a protein.
-
D.
isEssentialTraceElementForHumans
Indicates that something is a trace element required in small amounts for normal physiological functioning in humans.
-
E.
antinutritionalFactor
Indicates that something functions as an antinutritional factor, meaning it interferes with the digestion, absorption, or utilization of nutrients.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:47 a.m.