Triple
T21548150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salton Sea watershed |
E531683
|
entity |
| Predicate | evaporationIs |
P135856
|
FINISHED |
| Object | primary water loss mechanism |
—
|
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: primary water loss mechanism | Statement: [Salton Sea watershed, evaporationIs, primary water loss mechanism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaporationIs Context triple: [Salton Sea watershed, evaporationIs, primary water loss mechanism]
-
A.
hasEvaporation
chosen
Indicates that one entity undergoes or exhibits the process of evaporation in relation to another context or system.
-
B.
vaporPressure
Indicates the pressure exerted by a substance’s vapor when it is in equilibrium with its liquid or solid phase at a given temperature.
-
C.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
D.
hasMeltingMechanism
Indicates that an entity possesses a specific mechanism or process by which it melts or causes melting.
-
E.
dryingProperty
Indicates a relationship where an entity has the capacity or tendency to remove moisture from another entity or environment.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb590bb0881908cd849096696db10 |
completed | April 27, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:28 p.m.