Triple

T1709548
Position Surface form Disambiguated ID Type / Status
Subject Senegal E36946 entity
Predicate nationalLanguage P236 FINISHED
Object Jola
Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
 E193598 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: Jola | Statement: [Senegal, nationalLanguage, Jola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jola
Context triple: [Senegal, nationalLanguage, Jola]
  • A. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • B. Madalena
    Madalena is a neighborhood in the Brazilian city of Recife, known for its urban character and local commerce.
  • C. Ederle
    Ederle is the surname of Gertrude Ederle, the American competitive swimmer famed for being the first woman to swim across the English Channel.
  • D. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • E. Jala
    Jala is a municipality and town in the Mexican state of Nayarit, known for its agricultural traditions and proximity to the Ceboruco volcano.
  • 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: Jola
Triple: [Senegal, nationalLanguage, Jola]
Generated description
Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jola
Target entity description: Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
  • A. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • B. Madalena
    Madalena is a neighborhood in the Brazilian city of Recife, known for its urban character and local commerce.
  • C. Ederle
    Ederle is the surname of Gertrude Ederle, the American competitive swimmer famed for being the first woman to swim across the English Channel.
  • D. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • E. Jala
    Jala is a municipality and town in the Mexican state of Nayarit, known for its agricultural traditions and proximity to the Ceboruco volcano.
  • 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_69aa631329088190a2ce8f755bd69fc7 completed March 6, 2026, 5:16 a.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.