Triple
T29916003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantonese stir-fried water spinach with fermented bean curd |
E759796
|
entity |
| Predicate | mainVegetable |
P168704
|
FINISHED |
| Object | Ipomoea aquatica |
—
|
NE NERFINISHED |
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: Ipomoea aquatica | Statement: [Cantonese stir-fried water spinach with fermented bean curd, mainVegetable, Ipomoea aquatica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainVegetable Context triple: [Cantonese stir-fried water spinach with fermented bean curd, mainVegetable, Ipomoea aquatica]
-
A.
isLegume
Indicates that something belongs to the group of plants classified as legumes, typically producing seeds in pods and often associated with nitrogen-fixing properties.
-
B.
سلطة
Indicates a relationship where one entity holds power, control, or authoritative influence over another entity or situation.
-
C.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
D.
primaryFoodType
Indicates the main category of food that characterizes what an entity primarily eats or serves.
-
E.
vegetableRennetSource
Indicates that something serves as a plant-based source from which vegetable rennet is obtained.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6778f9c248190b61955450e10fd02 |
completed | May 2, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 29, 2026, 6:12 p.m.