Triple
T28457623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mastery for Service |
E716755
|
entity |
| Predicate | aimsToCultivate |
P165448
|
FINISHED |
| Object | students’ character |
—
|
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: students’ character | Statement: [Mastery for Service, aimsToCultivate, students’ character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToCultivate Context triple: [Mastery for Service, aimsToCultivate, students’ character]
-
A.
cultivationChallenge
Indicates a situation where the process of cultivating or growing something faces difficulty, obstacles, or increased effort.
-
B.
methodOfCultivation
Indicates the technique or process used to grow, raise, or cultivate something (such as a crop, organism, or resource).
-
C.
supportsCultivationOf
Indicates that one entity enables, facilitates, or is suitable for the growth, development, or cultivation of another entity.
-
D.
cultivationType
Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
-
E.
cultivatedThrough
Indicates that something is developed, improved, or brought into existence by means of a specified method, practice, or process.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f659355a208190be2609ffc7a9c427 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 1:55 a.m.