Triple
T34992842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Melbourne/Sydney Swans |
E1009440
|
entity |
| Predicate | guernseyDesign |
P1529
|
FINISHED |
| Object | white V on red |
—
|
LITERAL 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: white V on red | Statement: [South Melbourne/Sydney Swans, guernseyDesign, white V on red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guernseyDesign Context triple: [South Melbourne/Sydney Swans, guernseyDesign, white V on red]
-
A.
guernseyColor
Indicates the color or color pattern characteristic of a Guernsey cow.
-
B.
designsFor
Indicates that one entity creates or plans something specifically intended to serve, suit, or be used by another entity.
-
C.
jerseyDesignInspiredBy
Indicates that the design of a jersey is based on, influenced by, or derived from another design, theme, or source.
-
D.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
designsBy
Indicates that one entity is the creator or designer responsible for the conception or design of another entity.
- F. None of above.
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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.