Triple

T12654072
Position Surface form Disambiguated ID Type / Status
Subject Central Tano E302236 entity
Predicate hasLanguage P15 FINISHED
Object Ndenye
Ndenye is a lesser-known language belonging to the Central Tano branch of the Niger-Congo language family, spoken in West Africa.
E1000396 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: Ndenye | Statement: [Central Tano, hasLanguage, Ndenye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ndenye
Context triple: [Central Tano, hasLanguage, Ndenye]
  • A. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • B. Nwoya
    Nwoya is a town in northern Uganda that serves as the administrative and commercial center of Nwoya District.
  • C. Njuká
    Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • D. Njideka
    Njideka is a feminine given name of Igbo origin, commonly used in Nigeria.
  • E. Yakurr
    Yakurr is a local government area in southeastern Nigeria known for its rich cultural heritage and predominantly agrarian communities.
  • 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: Ndenye
Triple: [Central Tano, hasLanguage, Ndenye]
Generated description
Ndenye is a lesser-known language belonging to the Central Tano branch of the Niger-Congo language family, spoken in West Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ndenye
Target entity description: Ndenye is a lesser-known language belonging to the Central Tano branch of the Niger-Congo language family, spoken in West Africa.
  • A. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • B. Nwoya
    Nwoya is a town in northern Uganda that serves as the administrative and commercial center of Nwoya District.
  • C. Njuká
    Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • D. Njideka
    Njideka is a feminine given name of Igbo origin, commonly used in Nigeria.
  • E. Yakurr
    Yakurr is a local government area in southeastern Nigeria known for its rich cultural heritage and predominantly agrarian communities.
  • 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_69f67c730b5c8190ae8dbb476e53729e completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67de172088190b055ace0fdcfd1fd completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67ececce8819080335e67bd747057 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:18 p.m.