Triple
T7664846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modularity, Objects, and State |
E173599
|
entity |
| Predicate | hasPedagogicalGoal |
P12786
|
FINISHED |
| Object | to show how modularity improves program design |
—
|
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 show how modularity improves program design | Statement: [Modularity, Objects, and State, hasPedagogicalGoal, to show how modularity improves program design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPedagogicalGoal Context triple: [Modularity, Objects, and State, hasPedagogicalGoal, to show how modularity improves program design]
-
A.
hasEducationalMission
Indicates that an entity is responsible for or engaged in carrying out an educational purpose, goal, or function.
-
B.
educationalObjective
chosen
Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
-
C.
hasLinguisticGoal
Indicates that an entity is associated with or directed toward achieving a particular linguistic objective or outcome.
-
D.
didacticPurpose
Indicates that something is intended to teach, instruct, or convey educational content or guidance.
-
E.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.