Triple
T299558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microbiota |
E6167
|
entity |
| Predicate | lightRequirement |
P1346
|
FINISHED |
| Object | full sun to partial shade |
—
|
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: full sun to partial shade | Statement: [Microbiota, lightRequirement, full sun to partial shade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightRequirement Context triple: [Microbiota, lightRequirement, full sun to partial shade]
-
A.
sunRequirement
chosen
Indicates the amount or type of sunlight an entity (such as a plant or object) needs or is designed to receive.
-
B.
lightPath
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
-
C.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
D.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
-
E.
soilPreference
Indicates the type or condition of soil that an entity prefers or is best suited to grow or exist in.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.