Triple
T8577166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PixelRNN |
E203075
|
entity |
| Predicate | generationOrder |
P69703
|
FINISHED |
| Object | raster-scan order |
—
|
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: raster-scan order | Statement: [PixelRNN, generationOrder, raster-scan order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generationOrder Context triple: [PixelRNN, generationOrder, raster-scan order]
-
A.
generationCount
Indicates the number of times a process, entity, or version has been created, iterated, or regenerated within a sequence or lifecycle.
-
B.
growthOrder
Indicates the sequential or hierarchical order in which growth or development occurs relative to other entities or stages.
-
C.
generationMethod
chosen
Indicates the process, technique, or procedure by which something is created, produced, or derived.
-
D.
generationOf
Indicates that one entity is the origin, creator, or producer of another entity.
-
E.
subsequentOrder
Indicates that one order occurs after or follows another order in sequence.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea97787481909ebbaa45f59cbdaa |
completed | March 31, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.