Triple

T20299809
Position Surface form Disambiguated ID Type / Status
Subject Harakmbut E505447 entity
Predicate hasLanguage P15 FINISHED
Object Sapiteri language
The Sapiteri language is an indigenous Harakmbut language spoken by a small community in the Peruvian Amazon.
E1421643 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: Sapiteri language | Statement: [Harakmbut, hasLanguage, Sapiteri language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sapiteri language
Context triple: [Harakmbut, hasLanguage, Sapiteri language]
  • A. Sapo language
    Sapo language is a Kru language spoken by the Sapo people of Liberia.
  • B. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • C. Saponi language
    The Saponi language is an extinct Siouan language once spoken by the Saponi people of the southeastern United States, closely related to other Eastern Siouan languages.
  • D. Sabaot language
    The Sabaot language is a Nilotic language spoken by the Sabaot people of western Kenya and eastern Uganda, closely associated with the Kalenjin language cluster.
  • E. Parji language
    The Parji language is a lesser-known Dravidian language spoken primarily by tribal communities in central India, particularly in parts of Chhattisgarh and Odisha.
  • 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: Sapiteri language
Triple: [Harakmbut, hasLanguage, Sapiteri language]
Generated description
The Sapiteri language is an indigenous Harakmbut language spoken by a small community in the Peruvian Amazon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sapiteri language
Target entity description: The Sapiteri language is an indigenous Harakmbut language spoken by a small community in the Peruvian Amazon.
  • A. Sapo language
    Sapo language is a Kru language spoken by the Sapo people of Liberia.
  • B. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • C. Saponi language
    The Saponi language is an extinct Siouan language once spoken by the Saponi people of the southeastern United States, closely related to other Eastern Siouan languages.
  • D. Sabaot language
    The Sabaot language is a Nilotic language spoken by the Sabaot people of western Kenya and eastern Uganda, closely associated with the Kalenjin language cluster.
  • E. Parji language
    The Parji language is a lesser-known Dravidian language spoken primarily by tribal communities in central India, particularly in parts of Chhattisgarh and Odisha.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770b9484819090ffcb339f2a435a completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a3681888190ba2544466afeedd7 completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085a9b48b48190853f3599fa65355e completed May 16, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a085b01c0548190b11fee6477d61877 completed May 16, 2026, 11:54 a.m.
Created at: April 16, 2026, 11:16 a.m.