Triple
T18069645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Juan River |
E432389
|
entity |
| Predicate | flowsThroughBiome |
P71042
|
FINISHED |
| Object | humid tropical rainforest |
—
|
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: humid tropical rainforest | Statement: [San Juan River, flowsThroughBiome, humid tropical rainforest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsThroughBiome Context triple: [San Juan River, flowsThroughBiome, humid tropical rainforest]
-
A.
flowsIntoEcoregion
Indicates that a body of water or watercourse moves into and enters the boundaries of a specified ecoregion.
-
B.
flowsThroughLandscape
chosen
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
-
C.
biomeIncludes
Indicates that a biome contains or encompasses a particular entity, such as a species, habitat, or environmental feature, as part of its composition.
-
D.
biome
Indicates the type of ecological environment or habitat in which an entity naturally exists or is situated.
-
E.
hasSecondaryBiome
Indicates that an entity is associated with an additional, subordinate biome type beyond its primary biome.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cced29fc81908e87b4f1990fa0d8 |
completed | April 19, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.