Triple
T29036644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Afdera |
E737878
|
entity |
| Predicate | evaporationRateCharacteristic |
P135856
|
FINISHED |
| Object | very high |
—
|
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: very high | Statement: [Lake Afdera, evaporationRateCharacteristic, very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaporationRateCharacteristic Context triple: [Lake Afdera, evaporationRateCharacteristic, very high]
-
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.
dryingProperty
Indicates a relationship where an entity has the capacity or tendency to remove moisture from another entity or environment.
-
D.
bubbleCharacteristic
Indicates that one entity has a specific property, feature, or quality that characterizes a bubble or bubble-like state in relation to another entity or context.
-
E.
erosionRate
Indicates the rate at which material is worn away or removed from a surface over time due to erosive processes.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6603db2988190af8ce0beaaec257d |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:58 a.m.