Triple

T1709547
Position Surface form Disambiguated ID Type / Status
Subject Senegal E36946 entity
Predicate nationalLanguage P236 FINISHED
Object Serer
Serer is a Niger–Congo language spoken primarily by the Serer people of Senegal and neighboring regions.
 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: [Senegal, nationalLanguage, Serer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serer
Context triple: [Senegal, nationalLanguage, Serer]
  • A. Sokar
    Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
  • B. Gauda
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • C. Saharias
    Saharias are an indigenous tribal community of central India, traditionally known as forest dwellers and laborers with distinct cultural practices and socio-economic challenges.
  • D. Sergy
    Sergy is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • 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: [Senegal, nationalLanguage, Serer]
Generated description
Serer is a Niger–Congo language spoken primarily by the Serer people of Senegal and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Serer
Target entity description: Serer is a Niger–Congo language spoken primarily by the Serer people of Senegal and neighboring regions.
  • A. Sokar
    Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
  • B. Gauda
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • C. Saharias
    Saharias are an indigenous tribal community of central India, traditionally known as forest dwellers and laborers with distinct cultural practices and socio-economic challenges.
  • D. Sergy
    Sergy is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ac3670295481909e24b6d742563e08 completed March 7, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8adb1b588190b93f9d28d27cab72 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957912808190be5b6ed8d3f20535 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97accca48190bc43e94337589a5f completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.