Triple
T11660533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nintendo Switch Game Card |
E277106
|
entity |
| Predicate | bitterantType |
P100847
|
FINISHED |
| Object | denatonium benzoate |
—
|
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: denatonium benzoate | Statement: [Nintendo Switch Game Card, bitterantType, denatonium benzoate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bitterantType Context triple: [Nintendo Switch Game Card, bitterantType, denatonium benzoate]
-
A.
hasBitternessLevel
Indicates that an entity is associated with a specific degree or intensity of bitterness.
-
B.
isEmbittered
Indicates that an entity harbors persistent bitterness or resentment, typically as a result of past experiences or perceived wrongs.
-
C.
sweetenerType
Indicates the specific kind or category of sweetener associated with or used in relation to an entity.
-
D.
isSweeterThan
Indicates that one entity has a higher level of sweetness in taste compared to another entity.
-
E.
batter
Indicates that one entity physically strikes or beats another entity, typically with repeated or forceful blows.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d29fdc8190af46b6e2badb1df5 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:39 p.m.