Triple
T9261390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlborough GI |
E222586
|
entity |
| Predicate | secondaryColorOfWineProduced |
P36992
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Marlborough GI, secondaryColorOfWineProduced, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryColorOfWineProduced Context triple: [Marlborough GI, secondaryColorOfWineProduced, red]
-
A.
secondaryWine
Indicates a relationship where one wine is designated as a secondary or supporting wine in relation to a primary wine.
-
B.
secondaryGrape
Indicates that one grape variety serves as a secondary or supporting component in a wine blend relative to the primary grape.
-
C.
grapeColorProduced
Indicates the color that is produced by or characteristic of a given grape.
-
D.
secondaryColour
chosen
Indicates that one entity serves as a secondary or accent color in relation to another entity’s primary color.
-
E.
wineColor
Indicates the color attribute or hue associated with a given wine.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07175be881908a917573ec9b9081 |
completed | April 1, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:32 p.m.