Triple
T5931975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dos Equis |
E131957
|
entity |
| Predicate | recommendedServingTemperature |
P66977
|
FINISHED |
| Object | cold |
—
|
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: cold | Statement: [Dos Equis, recommendedServingTemperature, cold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendedServingTemperature Context triple: [Dos Equis, recommendedServingTemperature, cold]
-
A.
wineServingTemperature
Indicates the temperature at which a particular wine is or should be served.
-
B.
servedHot
Indicates that something is provided or presented in a heated or warm state, suitable for immediate consumption.
-
C.
brewingTemperature
Indicates the specific temperature at which a brewing process is carried out.
-
D.
servingStyle
Indicates how something (typically food or drink) is presented or offered for consumption or use.
-
E.
requiresCookingTemperature
Indicates that performing the action or preparing the item necessitates reaching or maintaining a specific cooking temperature.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03f23dd20819089dbf0de0d913602 |
completed | March 22, 2026, 7:12 p.m. |
Created at: March 22, 2026, 4 p.m.