Triple

T6098983
Position Surface form Disambiguated ID Type / Status
Subject Uma language E135946 entity
Predicate hasDialect P4251 FINISHED
Object Bajo Uma
Bajo Uma is a regional dialect of the Uma language spoken by the Bajo (Bajau) communities in parts of Indonesia.
 E569525 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: Bajo Uma | Statement: [Uma language, hasDialect, Bajo Uma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bajo Uma
Context triple: [Uma language, hasDialect, Bajo Uma]
  • A. Cumbolo
    Cumbolo is a roots reggae album by the Jamaican band Culture, known for its spiritually charged lyrics and classic late-1970s sound.
  • B. La Payunia
    La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
  • C. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • D. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • E. Barela
    Barela is an indigenous tribal community associated with the Nimar region of central India, known for its distinct cultural traditions and social identity.
  • 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: Bajo Uma
Triple: [Uma language, hasDialect, Bajo Uma]
Generated description
Bajo Uma is a regional dialect of the Uma language spoken by the Bajo (Bajau) communities in parts of Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bajo Uma
Target entity description: Bajo Uma is a regional dialect of the Uma language spoken by the Bajo (Bajau) communities in parts of Indonesia.
  • A. Cumbolo
    Cumbolo is a roots reggae album by the Jamaican band Culture, known for its spiritually charged lyrics and classic late-1970s sound.
  • B. La Payunia
    La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
  • C. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • D. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • E. Barela
    Barela is an indigenous tribal community associated with the Nimar region of central India, known for its distinct cultural traditions and social identity.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125475548819086b733a80056eba5 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c128753cd8819096edb3c817bfae10 completed March 23, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c129134ce08190ada54a7b3eda27f4 completed March 23, 2026, 11:50 a.m.
Created at: March 22, 2026, 4:13 p.m.