Triple
T2328774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carménère |
E48352
|
entity |
| Predicate | typicalColorDescription |
P38941
|
FINISHED |
| Object | deep ruby |
—
|
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: deep ruby | Statement: [Carménère, typicalColorDescription, deep ruby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorDescription Context triple: [Carménère, typicalColorDescription, deep ruby]
-
A.
typicalTexture
Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
-
B.
typicalCoatColor
Indicates the usual or most common coat color associated with an entity, such as an animal or breed.
-
C.
colorOftenUsed
Indicates that a particular color is frequently used or commonly applied in relation to something.
-
D.
typicalFeatures
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
E.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcc2fa25c8190858c1c541b914f4c |
completed | March 7, 2026, 6:56 a.m. |
Created at: March 4, 2026, 7:50 p.m.