Triple
T10837181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenuzi-Dongola |
E255790
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Midob
Midob is a Nubian language spoken by the Midob people of western Sudan, belonging to the Northern Nubian branch of the Nilo-Saharan language family.
|
E889280
|
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: Midob | Statement: [Kenuzi-Dongola, closelyRelatedTo, Midob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midob Context triple: [Kenuzi-Dongola, closelyRelatedTo, Midob]
-
A.
Modogashe
Modogashe is a small, remote town in northeastern Kenya known as a local trading and transit center in a semi-arid pastoral region.
-
B.
Naysabur
Naysabur (Nishapur) is an ancient city in northeastern Iran that was a major cultural and intellectual center of the Islamic Golden Age.
-
C.
Mongibello
Mongibello is a traditional name used in Italian and Sicilian contexts to refer to Mount Etna, the large active volcano on the east coast of Sicily.
-
D.
Mottama
Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the region.
-
E.
Dombay
Dombay is a mountain resort settlement in the North Caucasus of Russia, known for its alpine scenery, skiing, and hiking opportunities.
- 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: Midob Triple: [Kenuzi-Dongola, closelyRelatedTo, Midob]
Generated description
Midob is a Nubian language spoken by the Midob people of western Sudan, belonging to the Northern Nubian branch of the Nilo-Saharan language family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Midob Target entity description: Midob is a Nubian language spoken by the Midob people of western Sudan, belonging to the Northern Nubian branch of the Nilo-Saharan language family.
-
A.
Modogashe
Modogashe is a small, remote town in northeastern Kenya known as a local trading and transit center in a semi-arid pastoral region.
-
B.
Naysabur
Naysabur (Nishapur) is an ancient city in northeastern Iran that was a major cultural and intellectual center of the Islamic Golden Age.
-
C.
Mongibello
Mongibello is a traditional name used in Italian and Sicilian contexts to refer to Mount Etna, the large active volcano on the east coast of Sicily.
-
D.
Mottama
Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the region.
-
E.
Dombay
Dombay is a mountain resort settlement in the North Caucasus of Russia, known for its alpine scenery, skiing, and hiking opportunities.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb12aae648190aa7c93cee60ae3ea |
completed | April 14, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69dec2534728819095b3693120772da9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec79b1b548190a74312284f98551c |
completed | April 14, 2026, 11:02 p.m. |
Created at: April 8, 2026, 9:19 p.m.