Triple
T16837706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adequate Yearly Progress |
E409324
|
entity |
| Predicate | studentSubgroup |
P53577
|
FINISHED |
| Object | economically disadvantaged 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: economically disadvantaged students | Statement: [Adequate Yearly Progress, studentSubgroup, economically disadvantaged students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentSubgroup Context triple: [Adequate Yearly Progress, studentSubgroup, economically disadvantaged students]
-
A.
subgroupCategory
chosen
Indicates that one category functions as a more specific subgroup within the scope of another, broader category.
-
B.
studentSection
Indicates a relationship where a student is enrolled in or associated with a particular course section.
-
C.
targetStudentGroup
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
-
D.
studentsWing
Indicates a relationship where a particular wing, section, or area is designated for or associated with students.
-
E.
participantGroup
Indicates a relationship in which a set or group of entities jointly participate in a common event, activity, or interaction.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34e080c8190bf7a236205b41db2 |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.