Triple
T131946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central America |
E2671
|
entity |
| Predicate | hasMajorEcosystem |
P964
|
FINISHED |
| Object | 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: tropical rainforest | Statement: [Central America, hasMajorEcosystem, tropical rainforest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorEcosystem Context triple: [Central America, hasMajorEcosystem, tropical rainforest]
-
A.
containsEcosystem
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
-
B.
hasMajorRainforest
Indicates that one entity possesses or contains a large, significant rainforest within its area or domain.
-
C.
hasMajorForest
Indicates that an entity possesses or contains a large, significant forested area.
-
D.
hasBiosphere
Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
-
E.
primaryEcosystem
chosen
Indicates the main type of ecosystem in which an entity predominantly exists or operates.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2564edb488190974dc00eb9ac37d9 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.