Triple
T2484557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxaceae |
E55893
|
entity |
| Predicate | medicinalUse |
P40313
|
FINISHED |
| Object | source of paclitaxel |
—
|
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: source of paclitaxel | Statement: [Taxaceae, medicinalUse, source of paclitaxel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicinalUse Context triple: [Taxaceae, medicinalUse, source of paclitaxel]
-
A.
traditionalUse
Indicates that something is used or practiced according to long-established customs, habits, or cultural traditions.
-
B.
typeOfRemedy
Indicates that one entity is a specific kind or category of remedy in relation to another entity.
-
C.
usesDrug
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
-
D.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
E.
culinaryUse
Indicates that one entity is used in the preparation, flavoring, or serving of food or drink for another entity.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd209d934819093600889af9104c3 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:45 p.m.