Triple
T8714635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Swan Stone |
E206862
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Swan |
E280999
|
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: Swan | Statement: [New Swan Stone, hasComponent, Swan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swan Context triple: [New Swan Stone, hasComponent, Swan]
-
A.
Swan
chosen
Swan is a large, graceful waterbird known for its long neck, white or black plumage, and strong cultural associations with beauty and elegance.
-
B.
Swan
Swan is a small city in Marion County, Iowa, United States.
-
C.
Balloon Swan
Balloon Swan is a sculptural artwork resembling a swan made from a twisted balloon, created as part of the artist’s Celebration series.
-
D.
Swan King
Swan King is the romantic nickname of Ludwig II of Bavaria, the 19th-century monarch famed for his fairy-tale castles and patronage of composer Richard Wagner.
-
E.
Goose
Goose was the nickname of Leon "Goose" Goslin, a Hall of Fame American Major League Baseball left fielder known for his powerful hitting in the 1920s and 1930s.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28d62af88190acf2d8692d73b9f5 |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:35 p.m.