Triple
T11468973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantal cheese |
E271851
|
entity |
| Predicate | flavorProfileChangeWithAge |
P99452
|
FINISHED |
| Object | intensifies |
—
|
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: intensifies | Statement: [Cantal cheese, flavorProfileChangeWithAge, intensifies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flavorProfileChangeWithAge Context triple: [Cantal cheese, flavorProfileChangeWithAge, intensifies]
-
A.
hasTastingProfile
Indicates that an entity possesses a specific flavor or sensory profile, typically describing its characteristic tastes and aromas.
-
B.
hasVarietyOfFlavors
Indicates that one entity offers or contains multiple distinct flavors or taste options.
-
C.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
D.
mouthfeel
Indicates the sensory qualities and physical sensations a substance produces in the mouth when consumed.
-
E.
primaryFlavor
Indicates the dominant or most characteristic taste associated with an item relative to other possible flavors.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:35 p.m.