Triple
T24992219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PIRLS |
E625475
|
entity |
| Predicate | ePIRLSFocus |
P6235
|
FINISHED |
| Object | online informational reading |
—
|
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: online informational reading | Statement: [PIRLS, ePIRLSFocus, online informational reading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ePIRLSFocus Context triple: [PIRLS, ePIRLSFocus, online informational reading]
-
A.
educationalFocus
chosen
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
B.
standardizedAssessment
Indicates that an entity is evaluated using a uniform, systematically designed assessment administered and scored in a consistent manner across all subjects or contexts.
-
C.
attitudeTowardEducation
Indicates an entity’s feelings, beliefs, or stance regarding education or educational practices.
-
D.
focusesOnLanguage
Indicates that an entity’s primary attention, activity, or content is directed toward language as its main subject or concern.
-
E.
primaryLanguageOfInstruction
Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44a4639e8819090ce27c835eec2f0 |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:04 a.m.