Triple

T14153540
Position Surface form Disambiguated ID Type / Status
Subject Tekrur E350750 entity
Predicate ethnicGroup P194 FINISHED
Object Serer
The Serer are a West African ethnic group primarily found in Senegal, the Gambia, and Mauritania, known for their rich pre-Islamic religious traditions, complex social structures, and historical role in regional kingdoms.
 E193597 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: Serer | Statement: [Tekrur, ethnicGroup, Serer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serer
Context triple: [Tekrur, ethnicGroup, Serer]
  • A. Serer
    Serer is a Niger–Congo language spoken primarily by the Serer people of Senegal and neighboring regions.
  • B. Serua
    Serua is a small volcanic island in Indonesia’s Banda Sea, known for its steep terrain, active geology, and remote location within the Banda Arc.
  • C. Son Servera
    Son Servera is a coastal municipality and village on the eastern side of the island of Mallorca in Spain’s Balearic Islands.
  • D. Serabi
    Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
  • E. Seròs
    Seròs is a municipality in the comarca of Segrià in Catalonia, northeastern Spain, known for its agricultural landscape along the Segre River.
  • 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: Serer
Triple: [Tekrur, ethnicGroup, Serer]
Generated description
The Serer are a West African ethnic group primarily found in Senegal, the Gambia, and Mauritania, known for their rich pre-Islamic religious traditions, complex social structures, and historical role in regional kingdoms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Serer
Target entity description: The Serer are a West African ethnic group primarily found in Senegal, the Gambia, and Mauritania, known for their rich pre-Islamic religious traditions, complex social structures, and historical role in regional kingdoms.
  • A. Serer chosen
    Serer is a Niger–Congo language spoken primarily by the Serer people of Senegal and neighboring regions.
  • B. Serua
    Serua is a small volcanic island in Indonesia’s Banda Sea, known for its steep terrain, active geology, and remote location within the Banda Arc.
  • C. Son Servera
    Son Servera is a coastal municipality and village on the eastern side of the island of Mallorca in Spain’s Balearic Islands.
  • D. Serabi
    Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
  • E. Seròs
    Seròs is a municipality in the comarca of Segrià in Catalonia, northeastern Spain, known for its agricultural landscape along the Segre River.
  • F. None of above.

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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6133754881908e1e97db71772deb completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ea34408190830263d7f5a88ce9 completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd067e73708190adcb4e1c2fbf210d completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd0c5161dc8190a923c5b00dc5b53a completed May 7, 2026, 10:04 p.m.
Created at: April 10, 2026, 12:57 a.m.