Triple
T21848710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | علی شریعتی |
E539444
|
entity |
| Predicate | رشته تحصیلی |
P126649
|
FINISHED |
| Object | جامعهشناسی |
—
|
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: جامعهشناسی | Statement: [علی شریعتی, رشته تحصیلی, جامعهشناسی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: رشته تحصیلی Context triple: [علی شریعتی, رشته تحصیلی, جامعهشناسی]
-
A.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
B.
educationalField
chosen
Indicates the academic or disciplinary area in which an educational activity, program, or qualification is focused.
-
C.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
D.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
E.
fieldOfEducationCode
Indicates the specific area or discipline of study associated with an entity, represented by a standardized education field code.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd56f4e081909a906b64c1019e6a |
completed | April 28, 2026, 1:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.