Triple
T10952737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar al-Bashir |
E258764
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Hosh Bannaga
Hosh Bannaga is a town in Sudan known primarily as the birthplace of former Sudanese president Omar al-Bashir.
|
E894834
|
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: Hosh Bannaga | Statement: [Omar al-Bashir, placeOfBirth, Hosh Bannaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hosh Bannaga Context triple: [Omar al-Bashir, placeOfBirth, Hosh Bannaga]
-
A.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
-
B.
Asalha Bucha
Asalha Bucha is a major Theravada Buddhist festival commemorating the Buddha’s first sermon and the founding of the monastic community, observed on the full moon of the eighth lunar month.
-
C.
Haramosh Shina
Haramosh Shina is a regional dialect of the Shina language spoken in the Haramosh area of northern Pakistan.
-
D.
Bajelani
Bajelani is a Northwestern Iranian language variety spoken primarily by the Bajelani Kurdish community in parts of Iraq and Iran.
-
E.
Dar Baachtar
Dar Baachtar is a village located in the Koura District of northern Lebanon, known for its rural character within the country's coastal hinterland.
- 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: Hosh Bannaga Triple: [Omar al-Bashir, placeOfBirth, Hosh Bannaga]
Generated description
Hosh Bannaga is a town in Sudan known primarily as the birthplace of former Sudanese president Omar al-Bashir.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hosh Bannaga Target entity description: Hosh Bannaga is a town in Sudan known primarily as the birthplace of former Sudanese president Omar al-Bashir.
-
A.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
-
B.
Asalha Bucha
Asalha Bucha is a major Theravada Buddhist festival commemorating the Buddha’s first sermon and the founding of the monastic community, observed on the full moon of the eighth lunar month.
-
C.
Haramosh Shina
Haramosh Shina is a regional dialect of the Shina language spoken in the Haramosh area of northern Pakistan.
-
D.
Bajelani
Bajelani is a Northwestern Iranian language variety spoken primarily by the Bajelani Kurdish community in parts of Iraq and Iran.
-
E.
Dar Baachtar
Dar Baachtar is a village located in the Koura District of northern Lebanon, known for its rural character within the country's coastal hinterland.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fcfb3c8190b7823869670184a6 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c64089c8190a9c0aa63d7e7dc64 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24543bd2c8190a3c807baa76c30f6 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e25d11ef24819091e730ae2416a058 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:23 p.m.