Triple
T27974705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جلال آلاحمد |
E706454
|
entity |
| Predicate | تحصیلات |
P5
|
FINISHED |
| Object |
دانشکده ادبیات دانشگاه تهران
دانشکده ادبیات دانشگاه تهران یکی از قدیمیترین و معتبرترین مراکز آموزش و پژوهش در حوزه زبان و ادبیات و علوم انسانی در ایران است.
|
E1796616
|
NE FINISHED |
How this triple was built (3 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: دانشکده ادبیات دانشگاه تهران | Statement: [جلال آلاحمد, تحصیلات, دانشکده ادبیات دانشگاه تهران]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: دانشکده ادبیات دانشگاه تهران Triple: [جلال آلاحمد, تحصیلات, دانشکده ادبیات دانشگاه تهران]
Generated description
دانشکده ادبیات دانشگاه تهران یکی از قدیمیترین و معتبرترین مراکز آموزش و پژوهش در حوزه زبان و ادبیات و علوم انسانی در ایران است.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تحصیلات Context triple: [جلال آلاحمد, تحصیلات, دانشکده ادبیات دانشگاه تهران]
-
A.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
B.
educationAspiration
Indicates an individual's intended or desired level of education or educational achievement.
-
C.
cultType
Indicates the specific kind or category of cult associated with an entity, such as its religious, ideological, or functional type.
-
D.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
E.
educatedAt
chosen
Indicates that an entity received education or formal training at a specified institution or place of learning.
- F. None of above.
Provenance (6 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_69f63b37b59c81909442178f8c0d0919 |
completed | May 2, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a131177e9f48190a9a6cd2452a16f51 |
completed | May 24, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a131304ef8c8190aba3b2492a73a190 |
completed | May 24, 2026, 3:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1313c6b1208190920903aa5346950f |
completed | May 24, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:40 p.m.