Triple
T17987678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coriandrum sativum |
E430277
|
entity |
| Predicate | partUsedAsHerb |
P51056
|
FINISHED |
| Object | fresh leaves |
—
|
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: fresh leaves | Statement: [Coriandrum sativum, partUsedAsHerb, fresh leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partUsedAsHerb Context triple: [Coriandrum sativum, partUsedAsHerb, fresh leaves]
-
A.
includesHerb
Indicates that one entity contains or incorporates a herb as part of its composition or contents.
-
B.
medicinalUse
Indicates that one entity is used as a treatment or remedy for a disease, condition, or health-related purpose affecting another entity.
-
C.
usedInPlant
Indicates that something is utilized or applied within a plant, such as in its processes, operations, or systems.
-
D.
plantUse
chosen
Indicates that a plant is used for a particular purpose, function, or application.
-
E.
hasHerbarium
Indicates that an entity possesses, is associated with, or maintains a herbarium collection.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29c6d0881909d450d2561d532a6 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.