Triple
T11086355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahr el Ghazal |
E262129
|
entity |
| Predicate | hasWetland |
P24156
|
FINISHED |
| Object | Sudd |
E222568
|
NE FINISHED |
How this triple was built (2 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: Sudd | Statement: [Bahr el Ghazal, hasWetland, Sudd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudd Context triple: [Bahr el Ghazal, hasWetland, Sudd]
-
A.
Sudd
chosen
Sudd is one of the world’s largest wetlands, a vast swampy region of the Nile in South Sudan known for its dense vegetation and seasonal flooding.
-
B.
Lak Nuer
Lak Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
-
C.
Okavango Delta
The Okavango Delta is a vast inland river delta in northern Botswana renowned for its rich wildlife, seasonal flooding, and status as one of Africa’s premier safari destinations.
-
D.
Dinka
Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
-
E.
Hadejia
Hadejia is a historic commercial and agricultural town in northeastern Nigeria, known for its emirate, river basin, and role as a key urban center in Jigawa State.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c3ed9c8190a3f5cdf1fe0e74a2 |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d66ded88190877a20a10f012d6b |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.