Triple
T21021730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WinterFest (Carowinds) |
E517825
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | WinterFest |
—
|
NE NERFINISHED |
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: WinterFest | Statement: [WinterFest (Carowinds), name, WinterFest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WinterFest Context triple: [WinterFest (Carowinds), name, WinterFest]
-
A.
WinterFest
WinterFest is a large-scale winter holiday celebration at Canada's Wonderland featuring festive lights, themed entertainment, seasonal food, and family-friendly activities.
-
B.
WinterFest
WinterFest is a large holiday-themed winter celebration at the Worlds of Fun amusement park, featuring seasonal entertainment, decorations, and special attractions.
-
C.
WinterFest
chosen
WinterFest is Carowinds' annual holiday-themed celebration featuring festive lights, seasonal entertainment, and special winter attractions.
-
D.
WinterFest
WinterFest is a seasonal holiday-themed event at California’s Great America featuring festive lights, entertainment, and winter attractions.
-
E.
Winter Festival
Winter Festival is an annual cold-weather community celebration in Cedarburg, Wisconsin, featuring seasonal activities, entertainment, and local traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5db0b88190ae61ea8b38e8ecf7 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.