Triple
T3955153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangshan Maofeng tea |
E84957
|
entity |
| Predicate | brewingTemperature |
P53109
|
FINISHED |
| Object | around 80–85 °C |
—
|
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: around 80–85 °C | Statement: [Huangshan Maofeng tea, brewingTemperature, around 80–85 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brewingTemperature Context triple: [Huangshan Maofeng tea, brewingTemperature, around 80–85 °C]
-
A.
primaryFermentationVessel
Indicates that one entity serves as the main container or vessel in which the primary fermentation process of another entity takes place.
-
B.
wineServingTemperature
Indicates the temperature at which a particular wine is or should be served.
-
C.
possibleFermentationVessel
Indicates that something can serve as a suitable container or environment in which fermentation may take place.
-
D.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
E.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefaa3c6a08190bfe76629c7c98eea |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:30 p.m.