Triple
T8535166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tullu Dimtu |
E202059
|
entity |
| Predicate | hasSnowOccurrence |
P38179
|
FINISHED |
| Object | occasional light snowfall |
—
|
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: occasional light snowfall | Statement: [Tullu Dimtu, hasSnowOccurrence, occasional light snowfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSnowOccurrence Context triple: [Tullu Dimtu, hasSnowOccurrence, occasional light snowfall]
-
A.
hasSnowIn
Indicates that snow is present or occurs within a specified location or region.
-
B.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
C.
hasSnowOccasionally
chosen
Indicates that the subject experiences snowfall at irregular or infrequent intervals rather than regularly or never.
-
D.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
-
E.
hasSnowfallUnit
Indicates the unit of measurement used to express the amount or depth of snowfall in a given context.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a295c88190a432a060ee73f04e |
completed | March 31, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:17 p.m.