Triple
T35559631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salmon of Knowledge |
E1027600
|
entity |
| Predicate | gainsWisdomFrom |
P136394
|
FINISHED |
| Object | hazelnuts of wisdom |
—
|
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: hazelnuts of wisdom | Statement: [Salmon of Knowledge, gainsWisdomFrom, hazelnuts of wisdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainsWisdomFrom Context triple: [Salmon of Knowledge, gainsWisdomFrom, hazelnuts of wisdom]
-
A.
relativeWisdomDescription
Indicates a comparative assessment of wisdom between entities, describing how one’s wisdom level relates to another’s.
-
B.
earntBy
Indicates that something (such as money, points, or a reward) is obtained as a result of the actions, work, or performance of a particular entity.
-
C.
lessonsLearned
Indicates that certain insights, knowledge, or understanding have been gained from a prior experience, event, or process.
-
D.
learnedIn
chosen
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
-
E.
learnedPityAndPatienceFrom
Indicates that one entity acquired or developed qualities of pity and patience as a result of influence, teaching, or example from 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.