Triple
T16610033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zubin |
E403541
|
entity |
| Predicate | hasScriptForm |
P5713
|
FINISHED |
| Object |
زوبن
زوبن هو اسم علم يُستخدم في بعض الثقافات، غالبًا كاسم شخصي مذكر ذي طابع حديث ومميز.
|
E1222921
|
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: زوبن | Statement: [Zubin, hasScriptForm, زوبن]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: زوبن Context triple: [Zubin, hasScriptForm, زوبن]
-
A.
Zülle
Zülle is a Swiss surname most notably borne by former professional cyclist Alex Zülle, a multiple Grand Tour winner and time-trial specialist of the 1990s.
-
B.
Zog
Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
-
C.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
D.
Zwenkau
Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
-
E.
Zuba
Zuba is a rapidly growing suburban town near Nigeria’s capital, Abuja, known as a key transit and commercial hub connecting the city to surrounding regions.
- 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: زوبن Triple: [Zubin, hasScriptForm, زوبن]
Generated description
زوبن هو اسم علم يُستخدم في بعض الثقافات، غالبًا كاسم شخصي مذكر ذي طابع حديث ومميز.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: زوبن Target entity description: زوبن هو اسم علم يُستخدم في بعض الثقافات، غالبًا كاسم شخصي مذكر ذي طابع حديث ومميز.
-
A.
Zülle
Zülle is a Swiss surname most notably borne by former professional cyclist Alex Zülle, a multiple Grand Tour winner and time-trial specialist of the 1990s.
-
B.
Zog
Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
-
C.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
D.
Zwenkau
Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
-
E.
Zuba
Zuba is a rapidly growing suburban town near Nigeria’s capital, Abuja, known as a key transit and commercial hub connecting the city to surrounding regions.
- 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.