Triple
T21908744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darjeeling tea |
E541007
|
entity |
| Predicate | cultivarUsed |
P8128
|
FINISHED |
| Object | China jat cultivars |
—
|
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: China jat cultivars | Statement: [Darjeeling tea, cultivarUsed, China jat cultivars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivarUsed Context triple: [Darjeeling tea, cultivarUsed, China jat cultivars]
-
A.
cultivarName
Indicates that a specific cultivated variety (cultivar) is designated by a particular name.
-
B.
hasCultivar
chosen
Indicates that one entity is a plant species or variety that possesses, includes, or is associated with a specific cultivated variety (cultivar) as another entity.
-
C.
cultivatedSpecies
Indicates that one entity is a species that is intentionally grown or cultivated by another entity.
-
D.
cultivationType
Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
-
E.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d8c3108190a178ec6b3857da3f |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:39 p.m.