Triple
T13908772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchego cheese |
E334428
|
entity |
| Predicate | typicalSaltiness |
P56821
|
FINISHED |
| Object | medium |
—
|
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: medium | Statement: [Manchego cheese, typicalSaltiness, medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSaltiness Context triple: [Manchego cheese, typicalSaltiness, medium]
-
A.
typicalSaltContent
chosen
Indicates the usual or characteristic amount of salt associated with an entity, such as a food or substance.
-
B.
typicalSweetnessLevel
Indicates the usual or characteristic degree of sweetness associated with something.
-
C.
saltTolerance
Indicates the degree to which an entity can withstand or function under saline (high-salt) conditions.
-
D.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
E.
typicalSauceConsistency
Indicates that something has the usual or characteristic thickness or texture expected of a sauce.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2721ec6c8190888f4a9d004eb8e0 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.