Triple
T5681241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darjeeling region of West Bengal, India |
E125202
|
entity |
| Predicate | teaHarvestSeasons |
P1014
|
FINISHED |
| Object | first flush |
—
|
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: first flush | Statement: [Darjeeling region of West Bengal, India, teaHarvestSeasons, first flush]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teaHarvestSeasons Context triple: [Darjeeling region of West Bengal, India, teaHarvestSeasons, first flush]
-
A.
fruitingSeason
Indicates the time period during which a plant produces mature, harvestable fruits.
-
B.
growingSeason
Indicates the period of the year during which growth or development actively occurs for the referenced entity.
-
C.
floweringSeason
Indicates the time period during which a plant typically produces flowers.
-
D.
bloomSeason
Indicates the time period during which something, typically a plant, is in bloom or flowering.
-
E.
hasSeason
chosen
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.