Triple
T2671034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serranía de Majé region |
E55746
|
entity |
| Predicate | naturalRegionType |
P41592
|
FINISHED |
| Object | mountainous forest region |
—
|
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: mountainous forest region | Statement: [Serranía de Majé region, naturalRegionType, mountainous forest region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naturalRegionType Context triple: [Serranía de Majé region, naturalRegionType, mountainous forest region]
-
A.
ecoregion
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
B.
ecoregionsInclude
Indicates that one ecoregion spatially contains or encompasses another ecoregion or area within its boundaries.
-
C.
stratotypeRegion
Indicates the region or geographic area that serves as the reference or standard location (stratotype) for a particular stratigraphic unit or interval.
-
D.
hasMajorEcoregion
Indicates that an entity is primarily located within, or chiefly associated with, a particular major ecological region.
-
E.
physiographicDivisionOf
Indicates that one geographic area is a sub-region or component within the larger physiographic division of another area.
- F. None of above. chosen
Provenance (4 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98e7d00819088398206fc7db477 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8f98c348190a68064c565589459 |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:54 p.m.