Triple

T8809298
Position Surface form Disambiguated ID Type / Status
Subject Kabiye E209614 entity
Predicate neighboringLanguages P16383 FINISHED
Object Tem
Tem is a Gur language spoken primarily in Togo and neighboring regions of West Africa.
 E759514 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: Tem | Statement: [Kabiye, neighboringLanguages, Tem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tem
Context triple: [Kabiye, neighboringLanguages, Tem]
  • A. Tem
    Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
  • B. Ter
    The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
  • C. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • D. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • E. Tu
    Tu Youyou is a Chinese pharmaceutical chemist and Nobel laureate renowned for discovering the antimalarial drug artemisinin.
  • 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: Tem
Triple: [Kabiye, neighboringLanguages, Tem]
Generated description
Tem is a Gur language spoken primarily in Togo and neighboring regions of West Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tem
Target entity description: Tem is a Gur language spoken primarily in Togo and neighboring regions of West Africa.
  • A. Tem
    Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
  • B. Ter
    The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
  • C. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • D. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • E. Tu
    Tu Youyou is a Chinese pharmaceutical chemist and Nobel laureate renowned for discovering the antimalarial drug artemisinin.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd4cbec8190a929d4e60da8ad65 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fa0e4308190bd01c2d107c8c02d completed April 3, 2026, 7:43 a.m.
NEDg Description generation batch_69cf718a6f2c81908f8b8d08a1437749 completed April 3, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69cf7275fea08190b8999fb30663ff17 completed April 3, 2026, 7:55 a.m.
Created at: March 30, 2026, 6:45 p.m.