Triple
T6546561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hassa bint Ahmed Al Sudairi |
E151023
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hassa
Hassa is a feminine given name of Arabic origin, commonly used in the Gulf region.
|
E604477
|
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: Hassa | Statement: [Hassa bint Ahmed Al Sudairi, givenName, Hassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hassa Context triple: [Hassa bint Ahmed Al Sudairi, givenName, Hassa]
-
A.
Hessa
Hessa is an island in Norway that forms part of the coastal city of Ålesund, known for its scenic landscapes and maritime surroundings.
-
B.
Hasbaya
Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
-
C.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
-
D.
Habra
Habra is a town in the North 24 Parganas district of West Bengal, India, known as a suburban commercial and residential hub near Kolkata.
-
E.
Hadibu
Hadibu is the main town and administrative center of the Yemeni island of Socotra in the Arabian Sea.
- 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: Hassa Triple: [Hassa bint Ahmed Al Sudairi, givenName, Hassa]
Generated description
Hassa is a feminine given name of Arabic origin, commonly used in the Gulf region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hassa Target entity description: Hassa is a feminine given name of Arabic origin, commonly used in the Gulf region.
-
A.
Hessa
Hessa is an island in Norway that forms part of the coastal city of Ålesund, known for its scenic landscapes and maritime surroundings.
-
B.
Hasbaya
Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
-
C.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
-
D.
Habra
Habra is a town in the North 24 Parganas district of West Bengal, India, known as a suburban commercial and residential hub near Kolkata.
-
E.
Hadibu
Hadibu is the main town and administrative center of the Yemeni island of Socotra in the Arabian Sea.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adf00aa48190a86a9ad4795363d9 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d54b6d8c819083595375194aee12 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6acc2208190ac47c60bb896c1cd |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d83b53e48190881a3e1e8fa8b168 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:50 p.m.