Triple
T11303391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gen language |
E267652
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Gengbe
Gengbe is a dialect of the Gbe language cluster spoken primarily in parts of West Africa, closely related to Ewe and other Gbe varieties.
|
E916983
|
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: Gengbe | Statement: [Gen language, alternativeName, Gengbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gengbe Context triple: [Gen language, alternativeName, Gengbe]
-
A.
Goura
Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
-
B.
Bengan
Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
-
C.
Gebal
Gebal is the ancient name of the Phoenician coastal city later known as Byblos, one of the oldest continuously inhabited cities in the world.
-
D.
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.
-
E.
Genga
Genga is a small town and comune in Italy’s Marche region, known as the birthplace of Pope Leo XII and for its nearby Frasassi Caves.
- 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: Gengbe Triple: [Gen language, alternativeName, Gengbe]
Generated description
Gengbe is a dialect of the Gbe language cluster spoken primarily in parts of West Africa, closely related to Ewe and other Gbe varieties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gengbe Target entity description: Gengbe is a dialect of the Gbe language cluster spoken primarily in parts of West Africa, closely related to Ewe and other Gbe varieties.
-
A.
Goura
Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
-
B.
Bengan
Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
-
C.
Gebal
Gebal is the ancient name of the Phoenician coastal city later known as Byblos, one of the oldest continuously inhabited cities in the world.
-
D.
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.
-
E.
Genga
Genga is a small town and comune in Italy’s Marche region, known as the birthplace of Pope Leo XII and for its nearby Frasassi Caves.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a57366081908a05fc52c5d4074c |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510f9edb4819097e9fa1ce85504ed |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516bec3e481909cbd0d9c683d2191 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.