Triple
T2851157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indochinese Peninsula |
E63094
|
entity |
| Predicate | majorBiome |
P952
|
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: [Indochinese Peninsula, majorBiome, tropical rainforest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorBiome Context triple: [Indochinese Peninsula, majorBiome, tropical rainforest]
-
A.
biome
chosen
Indicates the type of ecological environment or habitat in which an entity naturally exists or is situated.
-
B.
biomeIncludes
Indicates that a biome contains or encompasses a particular entity, such as a species, habitat, or environmental feature, as part of its composition.
-
C.
hasMajorEcoregion
Indicates that an entity is primarily located within, or chiefly associated with, a particular major ecological region.
-
D.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
E.
ecoregion
Indicates that one entity is located within, associated with, or belongs to the same ecological region as 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5ca2648190bd32c6ec4b0dd3b6 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.