Triple
T32908153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabrales cheese |
E841796
|
entity |
| Predicate | maturationTemperature |
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: [Cabrales cheese, maturationTemperature, low temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maturationTemperature Context triple: [Cabrales cheese, maturationTemperature, low temperature]
-
A.
typicalIncubationTemperature
Indicates the usual or standard temperature at which an organism, sample, or material is incubated.
-
B.
requiresIncubationTemperature
Indicates that a process, experiment, or biological culture must be maintained at a specific temperature during incubation in order to proceed correctly or achieve the intended outcome.
-
C.
productionTemperature
chosen
Indicates the temperature at which a product, material, or substance is produced or processed.
-
D.
killedAtTemperature
Indicates that an entity was killed or rendered non-viable when exposed to a specified temperature.
-
E.
firingTemperature
Indicates the temperature at which a material or object is heated during a firing process (such as in a kiln or furnace).
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:19 a.m.