Triple
T5856973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tropical rain forest |
E130177
|
entity |
| Predicate | lightCondition |
P12262
|
FINISHED |
| Object | low light at forest floor |
—
|
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: low light at forest floor | Statement: [Tropical rain forest, lightCondition, low light at forest floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightCondition Context triple: [Tropical rain forest, lightCondition, low light at forest floor]
-
A.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
B.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
-
C.
lightLevel
chosen
Indicates the intensity or amount of light present in a given context or environment.
-
D.
lightPath
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
-
E.
lightSourceFor
Indicates that one entity serves as the source of illumination for 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:56 p.m.