Triple
T31253845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tie Luo Han |
E796903
|
entity |
| Predicate | roastLevel |
P117501
|
FINISHED |
| Object | medium to high |
—
|
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: medium to high | Statement: [Tie Luo Han, roastLevel, medium to high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roastLevel Context triple: [Tie Luo Han, roastLevel, medium to high]
-
A.
roastProfile
chosen
Indicates the specific roasting characteristics or level applied to an item (typically coffee), defining how it was roasted.
-
B.
typicalRoastUse
Indicates that something is commonly or characteristically used for roasting.
-
C.
oreGrade
Indicates the quality or concentration of valuable minerals or metals contained within a given quantity of ore.
-
D.
grindType
Indicates the specific way or degree to which something is ground or milled, such as the fineness or style of grinding applied.
-
E.
hasPeatingLevelRange
Indicates that something is associated with a specified range of peatiness levels, typically expressing how peated or smoky it is within defined minimum and maximum bounds.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:12 p.m.