Triple
T9786271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TurkishLanguageSchools |
E237496
|
entity |
| Predicate | typicalStudentDemographic |
P90641
|
FINISHED |
| Object | children of Turkish immigrants |
—
|
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: children of Turkish immigrants | Statement: [TurkishLanguageSchools, typicalStudentDemographic, children of Turkish immigrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStudentDemographic Context triple: [TurkishLanguageSchools, typicalStudentDemographic, children of Turkish immigrants]
-
A.
typicalStudentStatus
Indicates the usual or standard enrollment or academic standing that a student typically holds within an educational context.
-
B.
typicalClassSize
Indicates the usual or average number of students (or participants) that are present in a single class or course section.
-
C.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
D.
studentPopulationLevel
Indicates the relative size or magnitude of the student population associated with an entity.
-
E.
rankOfTypicalStudents
Indicates the usual or most common rank or standing that students hold within a given group or context.
- F. None of above. chosen
Provenance (4 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2107f688190b2cab1509c508319 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:27 p.m.