Triple
T787897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patagonian Desert |
E16844
|
entity |
| Predicate | causeOfAridity |
P694
|
FINISHED |
| Object | Andean rain shadow |
—
|
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: Andean rain shadow | Statement: [Patagonian Desert, causeOfAridity, Andean rain shadow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfAridity Context triple: [Patagonian Desert, causeOfAridity, Andean rain shadow]
-
A.
hasMajorDesert
Indicates that a region or country contains at least one large, significant desert within its territory.
-
B.
locatedInDesertTransitionZone
Indicates that something is situated in a geographical area where desert conditions gradually transition into a different type of ecosystem.
-
C.
climaticChallenge
Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
-
D.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
E.
droughtTolerance
Indicates the degree to which an entity can maintain normal function and survival under conditions of limited water availability.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a78171908190a38a70274bfbebf9 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50ef72c819084ffe9f31dbd0262 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:38 p.m.