Triple
T26879295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SP 4277 |
E676844
|
entity |
| Predicate | WhyteType |
P161557
|
FINISHED |
| Object | 4-8-8-2 |
—
|
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: 4-8-8-2 | Statement: [SP 4277, WhyteType, 4-8-8-2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WhyteType Context triple: [SP 4277, WhyteType, 4-8-8-2]
-
A.
typicalWhiteBlendComponent
Indicates that one entity is a grape variety commonly used as a component in white wine blends with the other entity.
-
B.
typeOfWhip
Indicates that one entity is a specific kind or category of whip in relation to another entity.
-
C.
bottlingType
Indicates the specific method or style in which a liquid product is bottled or packaged.
-
D.
sparklingType
Indicates that one entity is classified as a specific type or category within the broader class of sparkling items or phenomena.
-
E.
distilleryType
Indicates the specific kind or category of distillery associated with an entity (e.g., craft, industrial, micro, or regional type).
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f1b87948190bceade4b6a76752f |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 5:38 a.m.