Triple

T6753775
Position Surface form Disambiguated ID Type / Status
Subject Sara language E154401 entity
Predicate hasDialect P4251 FINISHED
Object Gula
Gula is a dialect of the Sara language spoken by communities in parts of Central Africa.
 E615474 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: Gula | Statement: [Sara language, hasDialect, Gula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gula
Context triple: [Sara language, hasDialect, Gula]
  • A. Sakkarin
    Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
  • B. Okha
    Okha is a town in the northern part of Russia’s Sakhalin Island known historically for its oil and gas industry.
  • C. Okha
    Okha is a coastal town and port in Gujarat, India, known as a gateway to the island pilgrimage site of Bet Dwarka.
  • D. Gamosa
    Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
  • E. Canela
    Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
  • 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: Gula
Triple: [Sara language, hasDialect, Gula]
Generated description
Gula is a dialect of the Sara language spoken by communities in parts of Central Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gula
Target entity description: Gula is a dialect of the Sara language spoken by communities in parts of Central Africa.
  • A. Sakkarin
    Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
  • B. Okha
    Okha is a town in the northern part of Russia’s Sakhalin Island known historically for its oil and gas industry.
  • C. Okha
    Okha is a coastal town and port in Gujarat, India, known as a gateway to the island pilgrimage site of Bet Dwarka.
  • D. Gamosa
    Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
  • E. Canela
    Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f32fa08190bb23dc24fef14c8d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1c4594819084716e21b16191e3 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c4111848190906b0e43cf4ae325 completed March 27, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69c70cbb8644819091a8a9c061dfd605 completed March 27, 2026, 11:03 p.m.
Created at: March 27, 2026, 2:11 p.m.