Triple
T610837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton South High School |
E12093
|
entity |
| Predicate | hasEducationalGoal |
P12786
|
FINISHED |
| Object | college preparation |
—
|
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: college preparation | Statement: [Newton South High School, hasEducationalGoal, college preparation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalGoal Context triple: [Newton South High School, hasEducationalGoal, college preparation]
-
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.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
D.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
E.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df7c088819082eb70de4f0f4fbf |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cfa7b4481909bec7a5fd3e98c65 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.