Triple
T11578441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogon languages |
E274563
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Tene Kan
Tene Kan is a Dogon language spoken in Mali, belonging to the larger Niger-Congo language family.
|
E934553
|
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: Tene Kan | Statement: [Dogon languages, hasSubgroup, Tene Kan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tene Kan Context triple: [Dogon languages, hasSubgroup, Tene Kan]
-
A.
Tayk
Tayk was an ancient historical region in the southwestern Caucasus, associated with Armenian and later Georgian polities and known for its strategic location and mountainous terrain.
-
B.
Thoosa
Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
-
C.
Kadan
Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
-
D.
Tars Tarkas
Tars Tarkas is a towering, four-armed Thark warrior and chieftain from Mars who becomes an unlikely ally and friend to John Carter in the 2012 science fiction film adaptation.
-
E.
Tassadar
Tassadar is a legendary Protoss High Templar from the StarCraft universe, renowned for his defiance of the Conclave and his sacrificial stand against the Zerg Overmind.
- 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: Tene Kan Triple: [Dogon languages, hasSubgroup, Tene Kan]
Generated description
Tene Kan is a Dogon language spoken in Mali, belonging to the larger Niger-Congo language family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tene Kan Target entity description: Tene Kan is a Dogon language spoken in Mali, belonging to the larger Niger-Congo language family.
-
A.
Tayk
Tayk was an ancient historical region in the southwestern Caucasus, associated with Armenian and later Georgian polities and known for its strategic location and mountainous terrain.
-
B.
Thoosa
Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
-
C.
Kadan
Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
-
D.
Tars Tarkas
Tars Tarkas is a towering, four-armed Thark warrior and chieftain from Mars who becomes an unlikely ally and friend to John Carter in the 2012 science fiction film adaptation.
-
E.
Tassadar
Tassadar is a legendary Protoss High Templar from the StarCraft universe, renowned for his defiance of the Conclave and his sacrificial stand against the Zerg Overmind.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714080a60819095205355776c8637 |
completed | April 21, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69e720f9a8588190aa766d2e1628207a |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e72315dda08190996aa84587c5fc80 |
completed | April 21, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:38 p.m.