Triple

T10909556
Position Surface form Disambiguated ID Type / Status
Subject Cahuapanan E257657 entity
Predicate hasSubgroup P747 FINISHED
Object Jebero language
The Jebero language is an indigenous Cahuapanan language traditionally spoken by the Jebero people in the Peruvian Amazon.
 E892646 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 language | Statement: [Cahuapanan, hasSubgroup, Jebero language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jebero language
Context triple: [Cahuapanan, hasSubgroup, Jebero language]
  • A. Jero language
    Jero is a Kiranti language of the Sino-Tibetan family spoken by the Jero (Jerung) people in eastern Nepal.
  • B. Jova language
    The Jova language is an extinct Uto-Aztecan language once spoken by the Jova people of northern Mexico, historically associated with the Taracahitic branch.
  • C. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • D. Jahai language
    The Jahai language is an indigenous Mon–Khmer language spoken by the Jahai people, a small hunter-gatherer community in the Malay Peninsula.
  • E. Shekkacho language
    The Shekkacho language is an Afroasiatic Omotic language spoken primarily by the Shekka people in the Sheka Zone of southwestern Ethiopia.
  • 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 language
Triple: [Cahuapanan, hasSubgroup, Jebero language]
Generated description
The Jebero language is an indigenous Cahuapanan language traditionally spoken by the Jebero people in the Peruvian Amazon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jebero language
Target entity description: The Jebero language is an indigenous Cahuapanan language traditionally spoken by the Jebero people in the Peruvian Amazon.
  • A. Jero language
    Jero is a Kiranti language of the Sino-Tibetan family spoken by the Jero (Jerung) people in eastern Nepal.
  • B. Jova language
    The Jova language is an extinct Uto-Aztecan language once spoken by the Jova people of northern Mexico, historically associated with the Taracahitic branch.
  • C. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • D. Jahai language
    The Jahai language is an indigenous Mon–Khmer language spoken by the Jahai people, a small hunter-gatherer community in the Malay Peninsula.
  • E. Shekkacho language
    The Shekkacho language is an Afroasiatic Omotic language spoken primarily by the Shekka people in the Sheka Zone of southwestern Ethiopia.
  • 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.