Triple
T30263251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence Broadhurst Wallpapers |
E769558
|
entity |
| Predicate | patternScale |
P8034
|
FINISHED |
| Object | large-scale prints |
—
|
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: large-scale prints | Statement: [Florence Broadhurst Wallpapers, patternScale, large-scale prints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patternScale Context triple: [Florence Broadhurst Wallpapers, patternScale, large-scale prints]
-
A.
pattern
chosen
Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
-
B.
scaleCharacteristic
Indicates that one entity specifies or describes a measurable property or dimension (such as size, magnitude, or extent) used as the scale for evaluating or comparing another entity.
-
C.
coversScale
Indicates that one entity spans, includes, or applies across the full range or extent of another entity’s scale.
-
D.
pixelScale
Indicates the ratio or conversion factor between pixel units and real-world or coordinate-space units in a representation or image.
-
E.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
- 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_69f22484a5f48190b678cd607700bc82 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f680aa301c8190b29870063a24a8ec |
completed | May 2, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:42 p.m.