Triple
T28374456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tu Youyou |
E718719
|
entity |
| Predicate | usedPlantInResearch |
P51056
|
FINISHED |
| Object | Artemisia annua |
—
|
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: Artemisia annua | Statement: [Tu Youyou, usedPlantInResearch, Artemisia annua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedPlantInResearch Context triple: [Tu Youyou, usedPlantInResearch, Artemisia annua]
-
A.
usedInPlant
Indicates that something is utilized or applied within a plant, such as in its processes, operations, or systems.
-
B.
plantUse
chosen
Indicates that a plant is used for a particular purpose, function, or application.
-
C.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
-
D.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
E.
usedResearchModel
Indicates that one entity employed a specific research model or framework in conducting its research or analysis.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 1:02 a.m.