Triple
T8565822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nubian languages |
E202798
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Ghulfan
Ghulfan is a Nubian language spoken by the Ghulfan people in the Nuba Mountains region of Sudan.
|
E742996
|
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: Ghulfan | Statement: [Nubian languages, hasMemberLanguage, Ghulfan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghulfan Context triple: [Nubian languages, hasMemberLanguage, Ghulfan]
-
A.
El Khalifa
El Khalifa is a historic district in Cairo, Egypt, known for its dense urban fabric, Islamic architecture, and significant religious and cultural landmarks.
-
B.
Al Anoud
Al Anoud is a Saudi princess from the Al Jiluwi branch of the royal family, known primarily as the wife of King Fahd of Saudi Arabia.
-
C.
Al-Ruʾāsī
Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
-
D.
Buraimi
Buraimi is an oasis town in northeastern Oman, historically significant as a strategic frontier settlement near the UAE border.
-
E.
Khan al-Shouneh
Khan al-Shouneh is a historic caravanserai and traditional market building in Aleppo, Syria, known for its Ottoman-era architecture and role in regional trade.
- 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: Ghulfan Triple: [Nubian languages, hasMemberLanguage, Ghulfan]
Generated description
Ghulfan is a Nubian language spoken by the Ghulfan people in the Nuba Mountains region of Sudan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ghulfan Target entity description: Ghulfan is a Nubian language spoken by the Ghulfan people in the Nuba Mountains region of Sudan.
-
A.
El Khalifa
El Khalifa is a historic district in Cairo, Egypt, known for its dense urban fabric, Islamic architecture, and significant religious and cultural landmarks.
-
B.
Al Anoud
Al Anoud is a Saudi princess from the Al Jiluwi branch of the royal family, known primarily as the wife of King Fahd of Saudi Arabia.
-
C.
Al-Ruʾāsī
Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
-
D.
Buraimi
Buraimi is an oasis town in northeastern Oman, historically significant as a strategic frontier settlement near the UAE border.
-
E.
Khan al-Shouneh
Khan al-Shouneh is a historic caravanserai and traditional market building in Aleppo, Syria, known for its Ottoman-era architecture and role in regional trade.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d2331881909d92ddde90f580e9 |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89677888819091dfda14ce6baef3 |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8c10d774819086437ffeeb1ef25d |
completed | April 2, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d0064fc819095058293e4229f25 |
completed | April 2, 2026, 3:36 p.m. |
Created at: March 30, 2026, 6:20 p.m.