Triple
T15985709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AA shoulder sleeve insignia |
E387686
|
entity |
| Predicate | shapeDetail |
P1464
|
FINISHED |
| Object | square with rounded corners |
—
|
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: square with rounded corners | Statement: [AA shoulder sleeve insignia, shapeDetail, square with rounded corners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeDetail Context triple: [AA shoulder sleeve insignia, shapeDetail, square with rounded corners]
-
A.
styleDetail
Indicates a relationship where specific stylistic characteristics or attributes of something are described or specified in detail.
-
B.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
-
C.
layoutDetail
Indicates the specific arrangement or configuration details of how elements are laid out in relation to each other.
-
D.
shapesValuesOf
Indicates that one entity influences or determines the characteristics, parameters, or magnitude of another entity’s values.
-
E.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.