Triple
T4483764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munster cheese |
E107185
|
entity |
| Predicate | storageRecommendation |
P8611
|
FINISHED |
| Object | refrigerated but brought to room temperature before serving |
—
|
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: refrigerated but brought to room temperature before serving | Statement: [Munster cheese, storageRecommendation, refrigerated but brought to room temperature before serving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storageRecommendation Context triple: [Munster cheese, storageRecommendation, refrigerated but brought to room temperature before serving]
-
A.
storageOption
chosen
Indicates how or where something is stored, specifying the chosen method, medium, or configuration for its storage.
-
B.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
-
C.
recommendedEquipment
Indicates that one entity suggests or endorses another entity as suitable equipment to be used in a particular context or activity.
-
D.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
E.
storesConfigurationFor
Indicates that one entity holds or maintains configuration settings that are used by or apply to another entity.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:58 p.m.