Triple
T1754153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinguicula |
E38512
|
entity |
| Predicate | cultivationRequirement |
P32783
|
FINISHED |
| Object | bright light |
—
|
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: bright light | Statement: [Pinguicula, cultivationRequirement, bright light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivationRequirement Context triple: [Pinguicula, cultivationRequirement, bright light]
-
A.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
-
B.
cultivatedOutdoors
Indicates that something is grown or produced outside in natural or open-air conditions rather than indoors or in controlled environments.
-
C.
cultivatedIndoors
Indicates that an entity is grown or maintained within an indoor environment rather than outdoors.
-
D.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
E.
growsOn
Indicates that one entity develops or increases in size, number, or extent while being physically supported by or attached to 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba6a4c84c8190b3ce0bf69c2b5f6d |
completed | March 7, 2026, 4:16 a.m. |
Created at: March 4, 2026, 7:31 p.m.