Triple

T12155700
Position Surface form Disambiguated ID Type / Status
Subject Senegambian languages E289568 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Kasa
Kasa is a Senegambian language spoken primarily in parts of Senegal and neighboring regions of West Africa.
 E963460 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: Kasa | Statement: [Senegambian languages, hasNotableLanguage, Kasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kasa
Context triple: [Senegambian languages, hasNotableLanguage, Kasa]
  • A. Kasaavin
    Kasaavin are a mysterious, energy-based alien species from the Doctor Who universe known for their ability to phase through matter and manipulate technology while serving as covert antagonists.
  • B. Kasavakan
    Kasavakan is a village in Taiwan associated with the Puyuma Indigenous people, where the Puyuma language is traditionally spoken.
  • C. Kasyapiya
    Kasyapiya was an early Buddhist school or sect that emerged from the Sthavira tradition and contributed to the development of Buddhist doctrinal diversity.
  • D. Kasada
    Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
  • E. Kasba
    Kasba is a town in the Purnia district of Bihar, India, known as a local commercial and administrative center for surrounding rural areas.
  • 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: Kasa
Triple: [Senegambian languages, hasNotableLanguage, Kasa]
Generated description
Kasa is a Senegambian language spoken primarily in parts of Senegal and neighboring regions of West Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kasa
Target entity description: Kasa is a Senegambian language spoken primarily in parts of Senegal and neighboring regions of West Africa.
  • A. Kasaavin
    Kasaavin are a mysterious, energy-based alien species from the Doctor Who universe known for their ability to phase through matter and manipulate technology while serving as covert antagonists.
  • B. Kasavakan
    Kasavakan is a village in Taiwan associated with the Puyuma Indigenous people, where the Puyuma language is traditionally spoken.
  • C. Kasyapiya
    Kasyapiya was an early Buddhist school or sect that emerged from the Sthavira tradition and contributed to the development of Buddhist doctrinal diversity.
  • D. Kasada
    Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
  • E. Kasba
    Kasba is a town in the Purnia district of Bihar, India, known as a local commercial and administrative center for surrounding rural areas.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:50 p.m.