Triple
T27974712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جلال آلاحمد |
E706454
|
entity |
| Predicate | موضوع کتاب غربزدگی |
P164549
|
FINISHED |
| Object | نقد وابستگی فرهنگی و اقتصادی به غرب |
—
|
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: نقد وابستگی فرهنگی و اقتصادی به غرب | Statement: [جلال آلاحمد, موضوع کتاب غربزدگی, نقد وابستگی فرهنگی و اقتصادی به غرب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: موضوع کتاب غربزدگی Context triple: [جلال آلاحمد, موضوع کتاب غربزدگی, نقد وابستگی فرهنگی و اقتصادی به غرب]
-
A.
موضوع بوستان
Indicates that something is the subject or topic of the work "بوستان" (Bustan).
-
B.
موضوع گلستان
Indicates that something is the subject or topic of Golestan (e.g., a work, discussion, or text related to Golestan).
-
C.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
D.
تذكر وصف العذاب
Indicates mentioning or recalling a description of the torment or punishment.
-
E.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 7:40 p.m.