Triple
T23003049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edam cheese |
E572682
|
entity |
| Predicate | agingEffectOnFlavor |
P99452
|
FINISHED |
| Object | becomes sharper with age |
—
|
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: becomes sharper with age | Statement: [Edam cheese, agingEffectOnFlavor, becomes sharper with age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingEffectOnFlavor Context triple: [Edam cheese, agingEffectOnFlavor, becomes sharper with age]
-
A.
foodEffect
Indicates how consuming a particular food influences or changes another entity, such as an organism, condition, or process.
-
B.
flavorDevelopment
Indicates the process by which the taste characteristics of something change or intensify over time or through specific conditions or treatments.
-
C.
flavorProfileChangeWithAge
chosen
Indicates how the flavor characteristics of something evolve or change as it ages.
-
D.
isFlavored
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
E.
hasTasteIntensity
Indicates the degree or strength of taste associated with something.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183549bdc81908fdcd44e2c92f7c4 |
completed | April 29, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:50 p.m.