Triple
T7483764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DuckTales (2017) |
E176827
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Duckburg |
E173096
|
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: Duckburg | Statement: [DuckTales (2017), setting, Duckburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duckburg Context triple: [DuckTales (2017), setting, Duckburg]
-
A.
Duckburg
chosen
Duckburg is a fictional American city in Disney comics and cartoons, best known as the hometown of Donald Duck, Scrooge McDuck, and many other characters from the Mickey Mouse universe.
-
B.
Toonerville
Toonerville is the fictional small-town setting featured in the early 20th-century Mickey McGuire comedy stories and film shorts.
-
C.
Windmill City
Windmill City is a nickname for Batavia, Illinois, reflecting its historic association with windmill manufacturing and numerous preserved windmills.
-
D.
Thneedville
Thneedville is the brightly colored, artificial city in the 2012 animated film "The Lorax," where residents live surrounded by plastic and metal with no real trees or nature.
-
E.
Blissville
Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53923e4819081bf79ed962a971c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8349d83cc8190af98c3212e28e913 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.