Triple
T37574169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Licancabur crater lake |
E934770
|
entity |
| Predicate | UVIndexCharacteristic |
P81429
|
FINISHED |
| Object | very high UV index |
—
|
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 UV index | Statement: [Licancabur crater lake, UVIndexCharacteristic, very high UV index]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UVIndexCharacteristic Context triple: [Licancabur crater lake, UVIndexCharacteristic, very high UV index]
-
A.
hasSolarRadiation
chosen
Indicates that an entity is subject to, receives, or is characterized by a certain amount or presence of solar radiation.
-
B.
absorbsUVLightAt
Indicates that one entity takes in or attenuates ultraviolet light at a specified wavelength, range, or condition associated with another entity.
-
C.
hasMaximumSolarInsolation
Indicates that an entity receives the highest level of solar radiation or sunlight intensity compared to relevant alternatives or within a given context.
-
D.
sunRayType
Indicates the specific kind or classification of sun ray associated with or emitted by an entity.
-
E.
sunshineHoursPerYear
Indicates the total number of hours in a year during which a location receives direct sunshine.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.