Triple

T6777053
Position Surface form Disambiguated ID Type / Status
Subject Wapishana language E155583 entity
Predicate alternateName P39 FINISHED
Object Wapichan
Wapichan is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
 E618322 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: Wapichan | Statement: [Wapishana language, alternateName, Wapichan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wapichan
Context triple: [Wapishana language, alternateName, Wapichan]
  • A. Pilcaniyeu
    Pilcaniyeu is a small town in Argentina’s Patagonia region, located in the Andean area of Río Negro Province and known for its rural character and nearby natural landscapes.
  • B. Kawayan
    Kawayan is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines.
  • C. Wazhazhe
    Wazhazhe is the self-designation of the Osage people, a Native American nation originally from the central United States.
  • D. Wolamo
    Wolamo is an alternative name for the Wolaytta people, an ethnic group primarily living in southern Ethiopia with their own distinct language and culture.
  • E. Yanaon
    Yanaon is the former name of Yanam, a small coastal town in India that was once part of French India and retains a distinct Franco-Indian cultural heritage.
  • 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: Wapichan
Triple: [Wapishana language, alternateName, Wapichan]
Generated description
Wapichan is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wapichan
Target entity description: Wapichan is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • A. Pilcaniyeu
    Pilcaniyeu is a small town in Argentina’s Patagonia region, located in the Andean area of Río Negro Province and known for its rural character and nearby natural landscapes.
  • B. Kawayan
    Kawayan is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines.
  • C. Wazhazhe
    Wazhazhe is the self-designation of the Osage people, a Native American nation originally from the central United States.
  • D. Wolamo
    Wolamo is an alternative name for the Wolaytta people, an ethnic group primarily living in southern Ethiopia with their own distinct language and culture.
  • E. Yanaon
    Yanaon is the former name of Yanam, a small coastal town in India that was once part of French India and retains a distinct Franco-Indian cultural heritage.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26725208190b64935cfd08b2aff completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712cc9ff08190bb7ec0bf4cc4db01 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c71396f1f88190b3316e694424a2fe completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c71466728c81909a24174a7938b43a completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:13 p.m.