Triple
T10319027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2017 sphere (Nur Alem) |
E242092
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Nur Alem
Nur Alem is a distinctive spherical building in Astana, Kazakhstan, originally constructed as the centerpiece pavilion for Expo 2017 and now serving as a museum and exhibition space.
|
E855170
|
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: Nur Alem | Statement: [Expo 2017 sphere (Nur Alem), name, Nur Alem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nur Alem Context triple: [Expo 2017 sphere (Nur Alem), name, Nur Alem]
-
A.
Sahel Selim
Sahel Selim is a city in Egypt’s Asyut Governorate, situated along the Nile in Upper Egypt and serving as a local administrative and commercial center.
-
B.
Nazli Hanem
Nazli Hanem was an Egyptian princess and Ottoman noblewoman, best known as a daughter of the powerful 19th-century ruler Muhammad Ali Pasha.
-
C.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
D.
Nouri
Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
-
E.
Nawaf
Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
- 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: Nur Alem Triple: [Expo 2017 sphere (Nur Alem), name, Nur Alem]
Generated description
Nur Alem is a distinctive spherical building in Astana, Kazakhstan, originally constructed as the centerpiece pavilion for Expo 2017 and now serving as a museum and exhibition space.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nur Alem Target entity description: Nur Alem is a distinctive spherical building in Astana, Kazakhstan, originally constructed as the centerpiece pavilion for Expo 2017 and now serving as a museum and exhibition space.
-
A.
Sahel Selim
Sahel Selim is a city in Egypt’s Asyut Governorate, situated along the Nile in Upper Egypt and serving as a local administrative and commercial center.
-
B.
Nazli Hanem
Nazli Hanem was an Egyptian princess and Ottoman noblewoman, best known as a daughter of the powerful 19th-century ruler Muhammad Ali Pasha.
-
C.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
D.
Nouri
Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
-
E.
Nawaf
Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6ca62b48190844b4cbf55d53a43 |
completed | April 7, 2026, 10:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d94aba48190aa40201d46f7ba2f |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d7318755b881908e9ea4f1dfcf7da2 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d73285e0688190a98708477527bbee |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:49 a.m.