Triple
T1251577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ataulfo mango |
E26886
|
entity |
| Predicate | vitaminContent |
P3602
|
FINISHED |
| Object | vitamin C |
—
|
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: vitamin C | Statement: [Ataulfo mango, vitaminContent, vitamin C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vitaminContent Context triple: [Ataulfo mango, vitaminContent, vitamin C]
-
A.
positionOnVitaminC
Indicates the stance, opinion, or policy that one entity holds regarding vitamin C.
-
B.
nutritionType
chosen
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
C.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
-
D.
featuresTincture
Indicates that something displays or bears a particular tincture (heraldic color, metal, or pattern) as one of its visual characteristics.
-
E.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.