Triple
T38117023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lin-chi I-hsüan |
E951816
|
entity |
| Predicate | goalOfTeaching |
P12786
|
FINISHED |
| Object | to trigger direct awakening in students |
—
|
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: to trigger direct awakening in students | Statement: [Lin-chi I-hsüan, goalOfTeaching, to trigger direct awakening in students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfTeaching Context triple: [Lin-chi I-hsüan, goalOfTeaching, to trigger direct awakening in students]
-
A.
coreGoalTaught
Indicates that a fundamental or primary goal is explicitly taught or conveyed to someone.
-
B.
educationalObjective
chosen
Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
-
C.
educationGoal
Indicates a relationship where an entity has a specific educational aim, objective, or intended learning outcome it is working toward.
-
D.
didacticPurpose
Indicates that something is intended to teach, instruct, or convey educational content or guidance.
-
E.
targetsTeaching
Indicates that one entity is the intended focus or recipient of another entity’s teaching efforts or instructional activities.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.