Triple
T10837250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berta |
E255792
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Gobato
Gobato is a regional dialect associated with the Berta language, spoken by the Berta people of northeastern Africa.
|
E889290
|
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: Gobato | Statement: [Berta, hasDialect, Gobato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gobato Context triple: [Berta, hasDialect, Gobato]
-
A.
Ganguise
Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
-
B.
Bitto
Bitto is a renowned Italian alpine cheese from the Valtellina region, prized for its long aging potential and rich, complex flavor.
-
C.
Goba
Goba is a small Ethiopian town in the Oromia Region that serves as a primary gateway and service center for visitors to Bale Mountains National Park.
-
D.
Tatoga
Tatoga are a Nilotic-speaking pastoralist ethnic group primarily inhabiting north-central Tanzania, known for their traditional herding lifestyle and distinctive cultural practices.
-
E.
Gedo
Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
- 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: Gobato Triple: [Berta, hasDialect, Gobato]
Generated description
Gobato is a regional dialect associated with the Berta language, spoken by the Berta people of northeastern Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gobato Target entity description: Gobato is a regional dialect associated with the Berta language, spoken by the Berta people of northeastern Africa.
-
A.
Ganguise
Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
-
B.
Bitto
Bitto is a renowned Italian alpine cheese from the Valtellina region, prized for its long aging potential and rich, complex flavor.
-
C.
Goba
Goba is a small Ethiopian town in the Oromia Region that serves as a primary gateway and service center for visitors to Bale Mountains National Park.
-
D.
Tatoga
Tatoga are a Nilotic-speaking pastoralist ethnic group primarily inhabiting north-central Tanzania, known for their traditional herding lifestyle and distinctive cultural practices.
-
E.
Gedo
Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
- 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.