Triple
T1005408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Model Diplomacy |
E21697
|
entity |
| Predicate | learningOutcome |
P12786
|
FINISHED |
| Object | policy analysis skills |
—
|
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: policy analysis skills | Statement: [Model Diplomacy, learningOutcome, policy analysis skills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learningOutcome Context triple: [Model Diplomacy, learningOutcome, policy analysis skills]
-
A.
programOutcome
Indicates the resulting state, effect, or consequence produced by executing or completing a program.
-
B.
educationalObjective
chosen
Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
-
C.
missionOutcome
Indicates the result or consequence of a mission, specifying whether and how the mission’s objectives were achieved or failed.
-
D.
educationalActivity
Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
-
E.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51303548190a5ee3c0797fc3245 |
completed | March 1, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b2e7108190b338b6c19d4aff55 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.