Triple
T21062760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fionn mac Cumhaill |
E518891
|
entity |
| Predicate | gainedWisdomFrom |
P136394
|
FINISHED |
| Object | salmon of knowledge |
—
|
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: salmon of knowledge | Statement: [Fionn mac Cumhaill, gainedWisdomFrom, salmon of knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedWisdomFrom Context triple: [Fionn mac Cumhaill, gainedWisdomFrom, salmon of knowledge]
-
A.
learnedIn
chosen
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
-
B.
lessonsLearned
Indicates that certain insights, knowledge, or understanding have been gained from a prior experience, event, or process.
-
C.
relativeWisdomDescription
Indicates a comparative assessment of wisdom between entities, describing how one’s wisdom level relates to another’s.
-
D.
learnedPityAndPatienceFrom
Indicates that one entity acquired or developed qualities of pity and patience as a result of influence, teaching, or example from another entity.
-
E.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb15698819090246698b143cb56 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:38 p.m.