Triple
T3665641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Duck |
E77751
|
entity |
| Predicate | residence |
P75
|
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: [Donald Duck, residence, Duckburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duckburg Context triple: [Donald Duck, residence, 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.
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.
-
C.
Gillikins
Gillikins are the purple-clad northern people of L. Frank Baum’s Land of Oz, known for inhabiting the Gillikin Country.
-
D.
Whoville
Whoville is a whimsical, tiny town inhabited by the Whos in Dr. Seuss’s stories, notably featured in both "Horton Hears a Who!" and "How the Grinch Stole Christmas!"
-
E.
Bogo City
Bogo City is a component city in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding rural municipalities.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc400352081908c16a6a7670eb52a |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4884bd50c8190a334e9aadc734364 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.