Triple

T12654064
Position Surface form Disambiguated ID Type / Status
Subject Central Tano E302236 entity
Predicate hasLanguage P15 FINISHED
Object Mbato
Mbato is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Ivory Coast–Ghana region.
E996649 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: Mbato | Statement: [Central Tano, hasLanguage, Mbato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mbato
Context triple: [Central Tano, hasLanguage, Mbato]
  • A. Mbaitoli
    Mbaitoli is a local government area in southeastern Nigeria known for its predominantly Igbo population and its role within Imo State’s administrative and cultural landscape.
  • B. Mutombo
    Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
  • C. Mbala
    Mbala is a town in northern Zambia near the Tanzanian border, known historically as a colonial-era administrative center and for its proximity to Lake Tanganyika.
  • D. Mbita
    Mbita is a town in western Kenya situated on the shores of Lake Victoria, serving as a local commercial and transport hub, including access to nearby islands.
  • E. Mbagala
    "Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • 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: Mbato
Triple: [Central Tano, hasLanguage, Mbato]
Generated description
Mbato is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Ivory Coast–Ghana region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mbato
Target entity description: Mbato is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Ivory Coast–Ghana region.
  • A. Mbaitoli
    Mbaitoli is a local government area in southeastern Nigeria known for its predominantly Igbo population and its role within Imo State’s administrative and cultural landscape.
  • B. Mutombo
    Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
  • C. Mbala
    Mbala is a town in northern Zambia near the Tanzanian border, known historically as a colonial-era administrative center and for its proximity to Lake Tanganyika.
  • D. Mbita
    Mbita is a town in western Kenya situated on the shores of Lake Victoria, serving as a local commercial and transport hub, including access to nearby islands.
  • E. Mbagala
    "Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66c572f848190a8cad6311d3315a3 completed May 2, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69f66cef79148190a052fb9ade3b0d27 completed May 2, 2026, 9:30 p.m.
Created at: April 9, 2026, 5:18 p.m.