Triple
T12097756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salineras de Maras |
E288113
|
entity |
| Predicate | climateDependency |
P73959
|
FINISHED |
| Object | dry season evaporation |
—
|
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: dry season evaporation | Statement: [Salineras de Maras, climateDependency, dry season evaporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateDependency Context triple: [Salineras de Maras, climateDependency, dry season evaporation]
-
A.
climateDependent
chosen
Indicates that the existence, behavior, or outcome of something is determined or significantly influenced by climatic conditions.
-
B.
climateBetween
Indicates that something (such as a location, period, or condition) has a climate that lies within a specified range or intermediate state between two other climatic conditions.
-
C.
climateIndicator
Indicates that something serves as a measure or signal of the state, change, or impact of climate-related conditions.
-
D.
climateDriver
Indicates a factor or process that significantly influences or drives changes in climate conditions.
-
E.
climateChangeEffect
Indicates how climate change influences or alters a particular entity, condition, or process.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.