Triple

T10909540
Position Surface form Disambiguated ID Type / Status
Subject Cahuapanan E257657 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Jebero
Jebero is an indigenous Cahuapanan language spoken by a small community in the Peruvian Amazon.
 E892643 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: Jebero | Statement: [Cahuapanan, hasMemberLanguage, Jebero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jebero
Context triple: [Cahuapanan, hasMemberLanguage, Jebero]
  • A. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • B. Jableh
    Jableh is a coastal city in northwestern Syria on the Mediterranean Sea, known for its ancient history and archaeological sites, including a well-preserved Roman theater.
  • C. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • D. Jopara
    Jopara is a mixed language spoken in Paraguay that blends Guaraní and Spanish in everyday communication.
  • E. Kenberma
    Kenberma is a coastal village neighborhood within the town of Hull, Massachusetts, known for its residential community and proximity to Nantasket Beach.
  • 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: Jebero
Triple: [Cahuapanan, hasMemberLanguage, Jebero]
Generated description
Jebero is an indigenous Cahuapanan language spoken by a small community in the Peruvian Amazon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jebero
Target entity description: Jebero is an indigenous Cahuapanan language spoken by a small community in the Peruvian Amazon.
  • A. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • B. Jableh
    Jableh is a coastal city in northwestern Syria on the Mediterranean Sea, known for its ancient history and archaeological sites, including a well-preserved Roman theater.
  • C. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • D. Jopara
    Jopara is a mixed language spoken in Paraguay that blends Guaraní and Spanish in everyday communication.
  • E. Kenberma
    Kenberma is a coastal village neighborhood within the town of Hull, Massachusetts, known for its residential community and proximity to Nantasket Beach.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77068e5488190bbc881ebf51d6b2e completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
NEDg Description generation batch_69e1801dc2e8819099bc862705871761 completed April 17, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69e1831802608190b5c3c5a4e8d8681a completed April 17, 2026, 12:47 a.m.
Created at: April 8, 2026, 9:22 p.m.