Triple
T1404235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinot family |
E31653
|
entity |
| Predicate | colorRange |
P60
|
FINISHED |
| Object | black-skinned |
—
|
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: black-skinned | Statement: [Pinot family, colorRange, black-skinned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorRange Context triple: [Pinot family, colorRange, black-skinned]
-
A.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
C.
colorCharge
Indicates a relationship where an entity possesses a specific quantum color charge (such as red, green, or blue) in the context of strong nuclear interactions.
-
D.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
-
E.
typicalRange
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3a0330c8190b22452d29c79fcf4 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.