Triple
T14293721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uru Uru Lake |
E354383
|
entity |
| Predicate | waterLevelThreat |
P113656
|
FINISHED |
| Object | periodic drying |
—
|
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: periodic drying | Statement: [Uru Uru Lake, waterLevelThreat, periodic drying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterLevelThreat Context triple: [Uru Uru Lake, waterLevelThreat, periodic drying]
-
A.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
B.
waterLevelTrend
Indicates the direction and rate at which a body of water’s level is changing over time (e.g., rising, falling, or stable).
-
C.
hasNormalWaterLevel
Indicates that an entity’s water level is within the expected or standard range, neither abnormally high nor low.
-
D.
bodyOfWaterThreateningOriginalSite
Indicates that a body of water poses a risk of damage, flooding, or destruction to the original location or site.
-
E.
hasFloodRisk
Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
- F. None of above. chosen
Provenance (4 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de7179368081908117a9ccfbf94fd4 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:11 a.m.