Triple
T1770385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sukki |
E38860
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Snowlets |
E38345
|
NE 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: Snowlets | Statement: [Sukki, partOf, Snowlets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowlets Context triple: [Sukki, partOf, Snowlets]
-
A.
Snowlets
chosen
Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
B.
Snowbird
Snowbird is a major ski and snowboard resort in Utah known for its steep terrain, deep powder, and long winter season.
-
C.
Snowman
Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
-
D.
Fuwa
Fuwa are the five official mascots of the 2008 Beijing Olympic Games, each representing a different color of the Olympic rings and elements of Chinese culture and symbolism.
-
E.
Alupka
Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648eb9488190b1be2d2b6d259634 |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf4fd0ec8190904f1ad2155c58bf |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:31 p.m.