Triple
T22441533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sichuan chili oil |
E554764
|
entity |
| Predicate | typicalOilType |
P13240
|
FINISHED |
| Object | rapeseed oil |
—
|
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: rapeseed oil | Statement: [Sichuan chili oil, typicalOilType, rapeseed oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOilType Context triple: [Sichuan chili oil, typicalOilType, rapeseed oil]
-
A.
oilType
chosen
Indicates the specific kind or classification of oil associated with an entity.
-
B.
typicalFuel
Indicates the kind of fuel that is normally or most commonly used by an entity (such as a device, vehicle, or system).
-
C.
oilContent
Indicates the amount or proportion of oil present in a given substance, material, or item.
-
D.
oilSystem
Indicates a relationship where an entity functions as, is part of, or is associated with an oil-based system used for lubrication, operation, or processing.
-
E.
laterFuelType
Indicates that one fuel type is used or adopted after another fuel type in time.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae2f7608190b1c1e8bd12ca2162 |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.