Triple
T16610031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zubin |
E403541
|
entity |
| Predicate | hasScriptForm |
P5713
|
FINISHED |
| Object |
زوبین
زوبین یک نام کوچک فارسی است که در فرهنگ ایرانی بهعنوان نامی مردانه با ریشه و کاربرد سنتی شناخته میشود.
|
E1222920
|
NE FINISHED |
How this triple was built (4 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: زوبین | Statement: [Zubin, hasScriptForm, زوبین]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: زوبین Context triple: [Zubin, hasScriptForm, زوبین]
-
A.
Beni Zmenzer
Beni Zmenzer is a town and commune located in the mountainous Kabylie region of northern Algeria.
-
B.
Kuzma
Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
-
C.
Sebino
Sebino is the Italian name for Lake Iseo, a picturesque glacial lake in northern Italy known for its scenic beauty and surrounding wine region.
-
D.
Lubomir
Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
-
E.
Roman Zolanski
Roman Zolanski is one of Nicki Minaj’s most famous and flamboyant alter egos, characterized by his wild, aggressive, and theatrical persona in her music and performances.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: زوبین Triple: [Zubin, hasScriptForm, زوبین]
Generated description
زوبین یک نام کوچک فارسی است که در فرهنگ ایرانی بهعنوان نامی مردانه با ریشه و کاربرد سنتی شناخته میشود.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: زوبین Target entity description: زوبین یک نام کوچک فارسی است که در فرهنگ ایرانی بهعنوان نامی مردانه با ریشه و کاربرد سنتی شناخته میشود.
-
A.
Beni Zmenzer
Beni Zmenzer is a town and commune located in the mountainous Kabylie region of northern Algeria.
-
B.
Kuzma
Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
-
C.
Sebino
Sebino is the Italian name for Lake Iseo, a picturesque glacial lake in northern Italy known for its scenic beauty and surrounding wine region.
-
D.
Lubomir
Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
-
E.
Roman Zolanski
Roman Zolanski is one of Nicki Minaj’s most famous and flamboyant alter egos, characterized by his wild, aggressive, and theatrical persona in her music and performances.
- F. None of above. chosen
Provenance (5 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3609572508190a5d7e6c3e0a8cf95 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aca5c0819092637e0d83ce8ac0 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a00783fcde08190963ce80fcf4aac90 |
completed | May 10, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0078a78ee08190887e93c08edbaead |
completed | May 10, 2026, 12:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.