Triple

T17195590
Position Surface form Disambiguated ID Type / Status
Subject Misumalpan E417342 entity
Predicate hasMember P10 FINISHED
Object Sumo language
Sumo language is an indigenous Misumalpan language spoken by the Sumo (Mayangna) people of Nicaragua and neighboring regions of Central America.
 E1255198 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: Sumo language | Statement: [Misumalpan, hasMember, Sumo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sumo language
Context triple: [Misumalpan, hasMember, Sumo language]
  • A. Soga language
    The Soga language is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • B. Unami language
    The Unami language is an Eastern Algonquian Native American language traditionally spoken by the Lenape (Delaware) people in the mid-Atlantic region of the United States.
  • C. Sawunese language
    The Sawunese language is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
  • D. Edo language
    The Edo language is a Niger-Congo language spoken primarily by the Edo (Bini) people of southern Nigeria, especially around the historic city of Benin.
  • E. Sumi language
    Sumi language is a Sino-Tibetan language spoken primarily by the Sumi Naga people in the Indian state of Nagaland.
  • 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: Sumo language
Triple: [Misumalpan, hasMember, Sumo language]
Generated description
Sumo language is an indigenous Misumalpan language spoken by the Sumo (Mayangna) people of Nicaragua and neighboring regions of Central America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sumo language
Target entity description: Sumo language is an indigenous Misumalpan language spoken by the Sumo (Mayangna) people of Nicaragua and neighboring regions of Central America.
  • A. Soga language
    The Soga language is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • B. Unami language
    The Unami language is an Eastern Algonquian Native American language traditionally spoken by the Lenape (Delaware) people in the mid-Atlantic region of the United States.
  • C. Sawunese language
    The Sawunese language is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
  • D. Edo language
    The Edo language is a Niger-Congo language spoken primarily by the Edo (Bini) people of southern Nigeria, especially around the historic city of Benin.
  • E. Sumi language
    Sumi language is a Sino-Tibetan language spoken primarily by the Sumi Naga people in the Indian state of Nagaland.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42da9e6208190b5c4e5925e840217 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd5f834819080ad2a2ffdc017b6 completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0160ce18e88190af8e3a7dfc17536a completed May 11, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a016146ce14819091e3459d25ca19aa completed May 11, 2026, 4:55 a.m.
Created at: April 10, 2026, 5:38 a.m.