Triple
T24928344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSD |
E618922
|
entity |
| Predicate | typicalMaxDimensions |
P176347
|
FINISHED |
| Object | 30000 by 30000 pixels |
—
|
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: 30000 by 30000 pixels | Statement: [PSD, typicalMaxDimensions, 30000 by 30000 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMaxDimensions Context triple: [PSD, typicalMaxDimensions, 30000 by 30000 pixels]
-
A.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
B.
typicalWidth
Indicates the usual or characteristic width associated with an entity, as opposed to an exact or measured width in a specific instance.
-
C.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
D.
typicalDomainDimension
Indicates that a dimension is a standard or characteristic measurement typically associated with a given domain or context.
-
E.
mediaDimension
chosen
Indicates the physical or digital size, extent, or measurable properties (such as width, height, length, or duration) associated with a media item.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 18, 2026, 5:29 a.m.