Triple
T16311717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Spheres |
E396071
|
entity |
| Predicate | plantOrigin |
P56740
|
FINISHED |
| Object | tropical regions |
—
|
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: tropical regions | Statement: [Amazon Spheres, plantOrigin, tropical regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantOrigin Context triple: [Amazon Spheres, plantOrigin, tropical regions]
-
A.
cultivarOrigin
Indicates that a particular plant cultivar was originally developed, bred, or derived from a specified source location, population, or lineage.
-
B.
speciesOrigin
chosen
Indicates the place, environment, or source from which a species originally arose or evolved.
-
C.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
-
D.
cultivatedInCountry
Indicates that something (such as a crop, plant, or organism) is grown or produced through cultivation within the specified country.
-
E.
plantSource
Indicates that something originates from, is derived from, or is produced by a particular plant.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dafb608190be35bd60342bb44e |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.