Triple
T602611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sand and Stone Garden |
E11525
|
entity |
| Predicate | primaryColorPalette |
P17891
|
FINISHED |
| Object | neutral tones |
—
|
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: neutral tones | Statement: [Sand and Stone Garden, primaryColorPalette, neutral tones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryColorPalette Context triple: [Sand and Stone Garden, primaryColorPalette, neutral tones]
-
A.
primaryWavelength
Indicates the main or dominant wavelength associated with an entity, such as the principal wavelength at which it emits, reflects, or operates.
-
B.
primaryPigment
Indicates that one pigment is the main or dominant colorant used or present in relation to another entity.
-
C.
primaryVariant
Indicates that one entity is the main or canonical version among multiple related variants of another entity.
-
D.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
E.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
- F. None of above. chosen
Provenance (4 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e574444819087999404f3e3ffd9 |
completed | March 1, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69a49cf701e08190966d06b9ff4b582b |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49e55b2248190b0ae3d692c0fa143 |
completed | March 1, 2026, 8:15 p.m. |
Created at: March 1, 2026, 7:35 p.m.