Triple
T12391448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangre de Cristo Mountains foothills |
E296001
|
entity |
| Predicate | ecotoneBetween |
P12327
|
FINISHED |
| Object | montane ecosystems |
—
|
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: montane ecosystems | Statement: [Sangre de Cristo Mountains foothills, ecotoneBetween, montane ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecotoneBetween Context triple: [Sangre de Cristo Mountains foothills, ecotoneBetween, montane ecosystems]
-
A.
formsEcotoneBetween
chosen
Indicates that one entity creates or constitutes a transitional boundary zone (ecotone) between two distinct ecological or environmental communities.
-
B.
ecozone
Indicates that two entities stand in a biogeographical relationship where one is an ecological zone (ecozone) that characterizes or contains the other.
-
C.
ecoregion
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
D.
isEcologicalZone
Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
-
E.
climateBoundaryBetween
Indicates a boundary or dividing line between two regions that differ in climate characteristics or classifications.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.