Triple
T25876377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modica chocolate |
E651912
|
entity |
| Predicate | productionTemperature |
P170618
|
FINISHED |
| Object | low temperature |
—
|
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: low temperature | Statement: [Modica chocolate, productionTemperature, low temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionTemperature Context triple: [Modica chocolate, productionTemperature, low temperature]
-
A.
firingTemperature
Indicates the temperature at which a material or object is heated during a firing process (such as in a kiln or furnace).
-
B.
operatingTemperature
Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
-
C.
fermentationTemperature
Indicates the temperature at which a fermentation process is carried out or maintained.
-
D.
temperatureControlMethod
Indicates the method or mechanism used to regulate or maintain a desired temperature.
-
E.
brewingTemperature
Indicates the specific temperature at which a brewing process is carried out.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f693ffa7908190aa4c451b16df9be6 |
completed | May 3, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 22, 2026, 8:12 a.m.