Triple
T3415471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makgadikgadi Pans region |
E71997
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sua Pan
Sua Pan is a large salt pan in northeastern Botswana that forms part of the extensive Makgadikgadi Pans system and is known for its stark, arid landscape and seasonal wildlife.
|
E355682
|
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: Sua Pan | Statement: [Makgadikgadi Pans region, contains, Sua Pan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sua Pan Context triple: [Makgadikgadi Pans region, contains, Sua Pan]
-
A.
Hmong Daw
Hmong Daw is a major variety of the Hmong language, widely spoken by Hmong communities in Southeast Asia and the global diaspora.
-
B.
Can Tho
Can Tho is a major city in southern Vietnam and the economic and cultural hub of the Mekong Delta region, known for its bustling floating markets and extensive canal network.
-
C.
Chuping
Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
-
D.
Yangsansi
Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
-
E.
Pegau
Pegau is a small historic town in the German state of Saxony, known for its medieval architecture and location near Leipzig.
- 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: Sua Pan Triple: [Makgadikgadi Pans region, contains, Sua Pan]
Generated description
Sua Pan is a large salt pan in northeastern Botswana that forms part of the extensive Makgadikgadi Pans system and is known for its stark, arid landscape and seasonal wildlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sua Pan Target entity description: Sua Pan is a large salt pan in northeastern Botswana that forms part of the extensive Makgadikgadi Pans system and is known for its stark, arid landscape and seasonal wildlife.
-
A.
Hmong Daw
Hmong Daw is a major variety of the Hmong language, widely spoken by Hmong communities in Southeast Asia and the global diaspora.
-
B.
Can Tho
Can Tho is a major city in southern Vietnam and the economic and cultural hub of the Mekong Delta region, known for its bustling floating markets and extensive canal network.
-
C.
Chuping
Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
-
D.
Yangsansi
Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
-
E.
Pegau
Pegau is a small historic town in the German state of Saxony, known for its medieval architecture and location near Leipzig.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb929b8ec8190aef431ec8ea2cf80 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34be16dd48190a51f4e13a6a13a4f |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34e4972008190af3b84f26b4a3629 |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b34fc6c3f88190ba1a08243232df05 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 8, 2026, 3:15 p.m.