Triple
T19207503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garibaldi Névé |
E480270
|
entity |
| Predicate | snowCharacteristics |
P69359
|
FINISHED |
| Object | deep winter snowpack |
—
|
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: deep winter snowpack | Statement: [Garibaldi Névé, snowCharacteristics, deep winter snowpack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowCharacteristics Context triple: [Garibaldi Névé, snowCharacteristics, deep winter snowpack]
-
A.
snowQuality
chosen
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
B.
snowAccumulation
Indicates that snow has collected or built up on a surface or in a location over time.
-
C.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
D.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
E.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99e9f8c8190b73db55f3f8bbf20 |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:20 p.m.